Black wings of butterfly Ornithoptera goliath and infrared-band radiative cooling function of Rapala dioetas butterfly wings are associated with black pigment(e.g.,melanin)and unique hierarchical microanostructures,gr...Black wings of butterfly Ornithoptera goliath and infrared-band radiative cooling function of Rapala dioetas butterfly wings are associated with black pigment(e.g.,melanin)and unique hierarchical microanostructures,greatly stimulating biomimetic fabrication of functional photonic structures but mainly targeted to one prototype.Targeted at two-prototype integrated biomimetic fabrication from fully compositional/structural/functional aspects,femtosecond(fs)laser subtractive/additive-integrated hierarchical microano-manufacturing technique is proposed in this work.This technique can one-step transfer refractory metals(e.g.,W,Mo,Nb,Ta)into black non-stoichiometric oxide nanomaterials with abundant oxygen vacancies and simultaneously enable the realization of in situ quasi-controllable microanoscale hierarchical aggregation and assembly,all displaying black color but with tunable infrared emission.Adjusting the scan interval for biomimetic manufacturing can tailor the structural oxidation degree,the emission in the long-wave infrared(LWIR)band while keeping the blackness of hierarchical aggregates,and the confined height between the covering quartz plate and the ablated sample.The blackening efficiency of this technique can reach∼11.25 cm2·min−1,opening opportunities for high-throughput opticalhermal applications.Selectively patterned Chinese characters,Arabic numbers,and English letters are easily fabricable,which are intrinsically invisible-infrared dual-band encrypted but decryptable via static/dynamic environment stimuli(e.g.,sample heating/cooling,introducing external hot/cold sources including human hands).The self-evolution from‘orderless’structuring to‘ordered’functionalization is validated for the proposed fs laser subtractive/additive-integrated biomimetic manufacturing,specifically from the synthesis of diverse black nanomaterials and the seemingly disordered microano-aggregates to the ordered opticalhermal regulation capacities for a delicate modulation of information encryption and decryption,unveiling a new concept for future exploration and extension.展开更多
Dear Editor,This letter deals with the non-fragile filtering problem for the discrete-time networked system subject to fading measurements and potential risk of information leakage. To ensure the system security enhan...Dear Editor,This letter deals with the non-fragile filtering problem for the discrete-time networked system subject to fading measurements and potential risk of information leakage. To ensure the system security enhancement,an encryption-decryption scheme is employed to protect the privacy of the transmitted signal via network,under which the real transmitted data is invisible to eavesdroppers. Ultimately,a numerical example is provided to assess the accuracy and efficacy of the derived approaches.展开更多
Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decrypt...Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decryption mechanism is considered in the signal transmission process.Specifically,a novel DRSMF scheme is developed such that,for both state saturation and encryption-decryption mechanism,the filtering error(FE)is limited to the ellipsoid domain.Then,the filtering error constraint matrix(FECM)is computed and a desirable filter gain is derived by minimizing the FECM.Besides,the bound-edness evaluation of the FECM is provided.展开更多
With the rapid development of information technology,data security issues have received increasing attention.Data encryption and decryption technology,as a key means of ensuring data security,plays an important role i...With the rapid development of information technology,data security issues have received increasing attention.Data encryption and decryption technology,as a key means of ensuring data security,plays an important role in multiple fields such as communication security,data storage,and data recovery.This article explores the fundamental principles and interrelationships of data encryption and decryption,examines the strengths,weaknesses,and applicability of symmetric,asymmetric,and hybrid encryption algorithms,and introduces key application scenarios for data encryption and decryption technology.It examines the challenges and corresponding countermeasures related to encryption algorithm security,key management,and encryption-decryption performance.Finally,it analyzes the development trends and future prospects of data encryption and decryption technology.This article provides a systematic understanding of data encryption and decryption techniques,which has good reference value for software designers.展开更多
Speckle-based optical cryptosystems are promising technologies for information security.However,existing techniques mostly rely on digital decryption,resulting in computational delay and undermining the high-speed adv...Speckle-based optical cryptosystems are promising technologies for information security.However,existing techniques mostly rely on digital decryption,resulting in computational delay and undermining the high-speed advantage of optical encryption.Moreover,conventional neural networks are typically effective only on images from the same distribution as the training datasets,limiting their general applicability.In this paper,we propose an all-optical high-speed decryption scheme for real-time recovery of speckle-encoded ciphertexts.By constructing a physics-informed diffractive neural network that approximates the inverse transmission matrix of the scattering medium,secret images can be directly reconstructed from speckle fields without optoelectronic conversion or post-processing.The network is trained with only 2048 samples from the MNIST dataset.Its transfer learning capability is validated across three out-of-distribution datasets,with decrypted images achieving a Pearson correlation coefficient of 0.82 and a structural similarity index measure of 0.75,demonstrating excellent transfer learning capability.For the first time,to our knowledge,this scheme simultaneously overcomes the bottlenecks of decryption delay and limited network generalizability in conventional speckle-based cryptosystems,achieving real-time image decryption with strong transferability.It provides a new pathway for developing low-power,real-time,and broadly applicable optical encryption systems,demonstrating significant potential for applications in high-speed security optical communications.展开更多
With the advancement of telemedicine technology,the security of digital medical images has become increasingly important.To address this issue,this paper proposes a visually meaningful color medical image encryption a...With the advancement of telemedicine technology,the security of digital medical images has become increasingly important.To address this issue,this paper proposes a visually meaningful color medical image encryption algorithm.First,a high-dimensional chaotic sequence is generated using a memristive Hopfield neural network.Subsequently,multichannel pixel permutation is performed based on a chaos-driven pseudo-random strategy,followed by the implementation of a double-layer diffusion mechanism integrating cellular automata and dynamic deoxyribonucleic acid(DNA)coding.Finally,a chaos-driven cross-channel least significant bit(LSB)embedding approach is adopted.Simulation experiments and security analyses demonstrate that the proposed algorithm achieves excellent encryption performance,a large key space,and strong robustness against noise and data-loss attacks,thereby effectively ensuring the secure transmission of digital medical images.展开更多
The rapid growth in the field of data and cloud computing has made it essential to ensure information security.Encryption consists of multiple layers,among which a critical component is the Substitution box(S-box).The...The rapid growth in the field of data and cloud computing has made it essential to ensure information security.Encryption consists of multiple layers,among which a critical component is the Substitution box(S-box).The S-box provides nonlinearity and confusion between the original and cipher forms,and its performance directly determines the security of the cipher against cryptanalysis.Chaotic systems have been widely used for image encryption,however,they suffer from well known limitations such as deterministic periodicity and reduced unpredictability in finite field digital environments.To address these issues,we propose a new S-box generation scheme based on an improved chaotic map,which combines the Hénon chaotic map with Brownian motion,concept in thermodynamics.In the proposed method,the initial keys used in the permutation and diffusion stages interact with each other,thereby enhancing the complexity of the system.We leverage the sensitivity and periodicity of the Hénon map and inject a zigzag Brownian motion sequence into its iteration process to overcome limitations of standalone chaotic maps.The extended scheme is implemented,and a comprehensive security analysis is performed on various cipher images obtained through the modified design.The results of the analysis demonstrate strong security properties,while the running time of the proposed scheme is comparatively better.The proposed scheme is both novel and adaptable,making it suitable for enhancing resistance against differential and algebraic attacks.Hénon-map S-box with Brownian perturbation secures biomedical images(MRI/CT,ultrasound and Xrays)and biofluid sequences(micro-PIV/microfluidics).High unpredictability enables real-time encryption which preserves privacy of patient data/IP.展开更多
Elliptic curve(EC)based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems.A substitution box(S-box)plays a vital role in securing modern symmetric key cryptosystem...Elliptic curve(EC)based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems.A substitution box(S-box)plays a vital role in securing modern symmetric key cryptosystems.However,the recently developed EC based algorithms usually trade off between computational efficiency and security,necessitating the design of a new algorithm with the desired cryptographic strength.To address these shortcomings,this paper proposes a new scheme based onMordell elliptic curve(MEC)over the complex field for generating distinct,dynamic,and highly uncorrelated S-boxes.Furthermore,we count the exact number of the obtained S-boxes,and demonstrate that the permuted version of the presented S-box is statistically optimal.The nonsingularity of the presented algorithm and the injectivity of the resultant output are explored.Rigorous theoretical analysis and experimental results demonstrate that the proposedmethod is highly effective in generating a large number of dynamic S-boxes with adequate cryptographic properties,surpassing current state-of-the-art S-box generation algorithms in terms of security.Apart fromthis,the generated S-box is benchmarked using side-channel attacks,and its performance is compared with highly nonlinear S-boxes,demonstrating comparable results.In addition,we present an application of our proposed S-box generator by incorporating it into an image encryption technique.The encrypted and decrypted images are tested by employing extensive standard security metrics,including the Number of Pixel Change Rate,the Unified Average Changing Intensity,information entropy,correlation coefficient,and histogram analysis.Moreover,the analysis is extended beyond conventional metrics to validate the new method using advanced tests,such as the NIST statistical test suite,robustness analysis,and noise and cropping attacks.Experimental outcomes show that the presented algorithm strengthens the existing encryption scheme against various well-known cryptographic attacks.展开更多
Driven by advancements in mobile internet technology,images have become a crucial data medium.Ensuring the security of image information during transmission has thus emerged as an urgent challenge.This study proposes ...Driven by advancements in mobile internet technology,images have become a crucial data medium.Ensuring the security of image information during transmission has thus emerged as an urgent challenge.This study proposes a novel image encryption algorithm specifically designed for grayscale image security.This research introduces a new Cantor diagonal matrix permutation method.The proposed permutation method uses row and column index sequences to control the Cantor diagonal matrix,where the row and column index sequences are generated by a spatiotemporal chaotic system named coupled map lattice(CML).The high initial value sensitivity of the CML system makes the permutation method highly sensitive and secure.Additionally,leveraging fractal theory,this study introduces a chaotic fractal matrix and applies this matrix in the diffusion process.This chaotic fractal matrix exhibits selfsimilarity and irregularity.Using the Cantor diagonal matrix and chaotic fractal matrix,this paper introduces a fast image encryption algorithm involving two diffusion steps and one permutation step.Moreover,the algorithm achieves robust security with only a single encryption round,ensuring high operational efficiency.Experimental results show that the proposed algorithm features an expansive key space,robust security,high sensitivity,high efficiency,and superior statistical properties for the ciphered images.Thus,the proposed algorithm not only provides a practical solution for secure image transmission but also bridges fractal theory with image encryption techniques,thereby opening new research avenues in chaotic cryptography and advancing the development of information security technology.展开更多
In today’s digitally connected world,where cyber threats are becoming increasingly complex,finding modern and secure text encryption solutions that maintain maximum runtime performance while offering high-level prote...In today’s digitally connected world,where cyber threats are becoming increasingly complex,finding modern and secure text encryption solutions that maintain maximum runtime performance while offering high-level protection is more crucial.The deployment of sophisticated security paradigms is often accompanied by a significant escalation in computational overhead.Thus,the fundamental objective resides in the mitigation of computational overhead while maintaining an uncompromising security posture.Internet of Things(IoT)devices require strong security measures for data transmission.Also,protecting communication channels against illegal access and eavesdropping has become crucial due to the exponential expansion of the IoT.The IoT implementations frequently have weak,unencrypted data streams that are susceptible to manipulation and interception.In order to overcome this,the proposed work incorporates lightweight protection using Moving Picture Experts Group(MPEG)derived motion vectors and dual encryption techniques to guarantee message confidentiality and integrity via limited IoT networks.The proposed method starts with resizing MPEG video frames to dimensions[1080,1920].After extracting motion vectors from two successive video frames,scale the obtained vectors to 1000.The exclusive OR(XOR)procedure is applied to the combined motion vectors.A one-dimensional(1D)vector is then produced.The initial elliptic curve Diffie-Hellman(ECDH)private key is created using a mapping of a hash function.The public keys,shared secret keys,and a second private key are also created.The shared secret key is used to generate the Advanced Encryption Standard(AES)main key.After that,the created AES is used to encrypt and decrypt text messages ranging in length from 10 to 300 bytes.Several evaluation metrics,including mean square error(MSE),peak signal to noise ratio(PSNR),correlation coefficient(CC),avalanche Effect(AE),and compression ratio(CR)values,are evaluated between the original and ciphertext.The presented method has demonstrated optimal performance in terms of encryption and decryption times as well as public and private key generation.Thus,improving the IoT application’s overall security condition by guaranteeing that only authorized endpoints can decrypt and read the data,and showing minimal latency overhead as compared to insecure transmission.This suggests that it is a highly effective solution for secure text communication,offering lightweight encryption suitable for a wide range of resource-constrained and real-time applications.展开更多
Metasurface fabrication still faces critical processing challenges in balancing the structural order and disorder, achieving high-speed patterning, and extending material compatibility to refractory metals for operati...Metasurface fabrication still faces critical processing challenges in balancing the structural order and disorder, achieving high-speed patterning, and extending material compatibility to refractory metals for operation under extreme conditions. This study demonstrates that femtosecond laser maskless direct writing(fs-LMDW) offers a versatile platform for engineering multispectral information, all-in-one metasurfaces on pure zirconium(Zr)substrates. Through sequential fs-LMDW in air and ethylene glycol(EG), deceptive grey-colored visible information is superimposedly encoded with the infrared(IR)-encrypted information(invisible among black-color structured background), which leverages the crosstalk-free structural modulation of singular-band IR and visible light. The metasurface exhibits robust thermal stability and high-security encryption capability across a wide temperature range, with IR-concealed information(such as QR code) remaining securely encrypted until thermally activated at 300℃ for smartphone-readable information decryption. Furthermore, the visible information is both erasable through 300℃ oxidation heating in air and rewritable via fs-LMDW in EG without compromising IR encryption security. Particularly,the one-time complete erasability makes it possible to identify whether the encrypted IR-information has been decrypted, underscoring the robustness and high security of the platform. The presented hierarchical microanostructuring methodology is deemed to be applicable to a large material matrix to gain high-security, and multifunctional metasurfaces that are more difficult and complex for current metasurface fabrication techniques.展开更多
Membership Inference Attacks(MIAs)pose a significant privacy risk in machine learning by enabling adversaries to infer whether specific data samples were used during training,particularly in sensitive domains such as ...Membership Inference Attacks(MIAs)pose a significant privacy risk in machine learning by enabling adversaries to infer whether specific data samples were used during training,particularly in sensitive domains such as social media and mental health analytics.To address this challenge,this paper proposes HEbdMIA,a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications.The proposed approach preserves the relative ordering of predictions while obscuring confidence patterns exploited by MIAs.Experimental evaluation on DepInferAttack and BotInferAttack demonstrates that HEbdMIA achieves a reduction in MIA success rates of 31.0%and 27.3%,respectively,with an associated accuracy decrease of 29.3%and 26.4%,reflecting a controlled privacy and utility trade-off.Additional analysis using precision,recall,F1-score,and ROC-AUC confirms a substantial decline in adversarial inference capability.These findings indicate that HEbdMIA provides an effective,scalable,and deployment-friendly solution for enhancing privacy in real-world machine learning systems.展开更多
Multimodal luminescent materials are crucial for advanced information encryption,real-time dosimetry,and high-resolution bioimaging,yet integrating orthogonal stimulus-responsiveness into a single-component system is ...Multimodal luminescent materials are crucial for advanced information encryption,real-time dosimetry,and high-resolution bioimaging,yet integrating orthogonal stimulus-responsiveness into a single-component system is challenging.Herein,we report a Pr3+-doped Ca3Ga2Ge3O12(CGGO:Pr3+)garnet phosphor that exhibits orthogonally addressable luminescence under ultraviolet(UV)light,X-ray radiation,and thermal stimulation.This phosphor demonstrates dual spectrally distinct emissions with relative intensities that can be precisely modulated by varying the excitation wavelength or ambient temperature,enabling color tuning from blue to orange.Furthermore,time-resolved multi-color afterglow after UV or X-ray pre-excitation,along with thermally stimulated luminescence,provides complementary readout channels.Notably,CGGO:Pr3+exhibits dose-rate-and temperature-dependent color evolution(from blue-white to orange-white)under concurrent UV and X-ray irradiation,facilitating real-time naked-eye monitoring of both X-ray dose rate and temperature.By leveraging these orthogonal response modes,we demonstrate visual real-time X-ray dose and temperature detection,high-security X-ray imaging,and 3D-encrypted quick response codes.This study establishes CGGO:Pr3+as a versatile single-component platform for orthogonal stimuli-responsive applications,advancing the fields of dynamic information encryption and instantaneous X-ray dose-rate visualization.展开更多
The rapid advancement of remote sensing technology has heightened concerns over the security of sensitive information.This paper presents an intelligent encryption scheme for remote sensing images using dimensionality...The rapid advancement of remote sensing technology has heightened concerns over the security of sensitive information.This paper presents an intelligent encryption scheme for remote sensing images using dimensionality variation.The scheme employs two high-dimensional chaotic systems to generate keys for simultaneous row-column scrambling and diffusion.By mapping a two-dimensional(2D)plain-image to a three-dimensional(3D)space,pixels are rearranged within a 3D cube using a chaotic key,followed by auto-correlation cyclic diffusion.Experimental results demonstrate that this approach significantly enhances encryption security,making it suitable for secure remote sensing image communication.展开更多
With the widespread applications of digital images in fields such as medical imaging,remote sensing,and financial transactions,ensuring image confidentiality has become increasingly important.However,some existing ima...With the widespread applications of digital images in fields such as medical imaging,remote sensing,and financial transactions,ensuring image confidentiality has become increasingly important.However,some existing image encryption schemes still suffer from limited key space and insufficient security.To address these,this paper proposes a novel color image encryption algorithm(CIEA-4DALHS)based on a newly constructed four-dimensional augmented Lü hyperchaotic system(4DALHS).The scheme integrates bidirectional spiral cross scrambling with arbitrary starting points and four traversal modes,bit-plane substitution for fine-grained pixel modification,and hierarchical regional segmentation diffusion with cross-channel cascading effects.These strategies significantly enhance both permutation and diffusion effects.Experimental results and security analysis demonstrate the superiority of CIEA-4DALHS.For example,the key space is sufficiently large,high ciphertext information entropy,and strong robustness against statistical and differential attacks.Compared with recent methods,the proposed scheme CIEA-4DALHS offers both high efficiency and security,highlighting its strong potential for real-world applications in image protection.展开更多
Military image encryption plays a vital role in ensuring the secure transmission of sensitive visual information from unauthorized access.This paper proposes a new Tri-independent keying method for encrypting military...Military image encryption plays a vital role in ensuring the secure transmission of sensitive visual information from unauthorized access.This paper proposes a new Tri-independent keying method for encrypting military images.The proposed encryption method is based on multilevel security stages of pixel-level scrambling,bitlevel manipulation,and block-level shuffling operations.For having a vast key space,the input password is hashed by the Secure Hash Algorithm 256-bit(SHA-256)for generating independently deterministic keys used in the multilevel stages.A piecewise pixel-level scrambling function is introduced to perform a dual flipping process controlled with an adaptive key for obscuring the spatial relationships between the adjacent pixels.Adynamicmasking scheme is presented for conducting a bit-level manipulation based on distinct keys that change over image regions,providing completely different encryption results on identical regions.To handle the global correlation between large-scale patterns,a chaotic index-map system is employed for shuffling image regions randomly across the image domain based on a logistic map seeded with a private key.Experimental results on a dataset of military images show the effectiveness of the proposed encryption method in producing excellent quantitative and qualitative results.The proposed method obtains uniform histogram distributions,high entropy values around the ideal(≈8 bits),Number of Pixel Change Rate(NPCR)values above 99.5%,and low Peak Signal-to-Noise Ratio(PSNR)over all encrypted images.This validates the robustness of the proposed method against cryptanalytic attacks,verifying its ability to serve as a practical basis for secure image transmission in defense systems.展开更多
With the rapid development of intelligent electronic and military equipment,multifunctional flexible materials that integrat electromagnetic interference(EMI)shielding,temperature sensing,and information encryption ar...With the rapid development of intelligent electronic and military equipment,multifunctional flexible materials that integrat electromagnetic interference(EMI)shielding,temperature sensing,and information encryption are urgently required.This study presents a bio-inspired hierarchical composite foam fabricated using supercritical nitrogen foaming technology.This material exhibits a honeycomb structure,with pore cell sizes controllable within a range of 30–92μm by regulating the filler.The carbon fiber felt(CFf)provides efficient reflection of electromagnetic waves,while the chloroprene rubber/carbon fiber/carbon black foam facilitates both wave absorption and temperature monitoring through its optimized conductive network.This synergistic mechanism results in an EMI shielding effectiveness(SE)of 60.06 d B with excellent temperature sensing performance(The temperature coefficient of resistance(TCR)is-2.642%/℃)in the 24–70℃ range.Notably,the material has a thermal conductivity of up to 0.159 W/(m·K),and the bio-inspired layered design enables information encryption,demonstrating the material's potential for secure communication applications.The foam also has tensile properties of up to 5.13 MPa and a tear strength of 33.02 N/mm.This biomimetic design overcomes the traditional limitations of flexible materials and provides a transformative solution for next-generation applications such as flexible electronics,aerospace systems and military equipment,which urgently need integrated electromagnetic protection,thermal management and information security.展开更多
As cyberattacks become increasingly sophisticated and intelligent,demand for machine-learning-based anomaly detection systems is growing.However,conventional systems generally assume a trusted server environment,where...As cyberattacks become increasingly sophisticated and intelligent,demand for machine-learning-based anomaly detection systems is growing.However,conventional systems generally assume a trusted server environment,where traffic data is collected and analyzed in plaintext.This assumption introduces inherent privacy risks,as privacy-sensitive information may be exposed if the server is compromised or misused.To address this limitation,privacy-preserving anomaly detection approaches have been actively studied,enabling anomaly detection to be performed directly on encrypted traffic without revealing privacy-sensitive data.While these approaches offer strong confidentiality guarantees,they suffer from significant drawbacks,including substantial computational overhead,high latency,and degraded detection accuracy.To overcome these limitations,we propose a privacy-aware anomaly detection(PAAD)model that adaptively applies homomorphic encryption based on the privacy sensitivity of incoming traffic.Instead of encrypting all data indiscriminately,PAAD dynamically determines whether traffic should be processed in plaintext or ciphertext and performs homomorphic inference only for privacy-sensitive data.This selective encryption strategy effectively balances privacy protection and system efficiency.Extensive experiments conducted under diverse network environments demonstrate that the proposed PAAD model significantly outperforms conventional anomaly detection models.In particular,PAAD improves detection accuracy by up to 73%,reduces latency by up to 8.6 times,and achieves negligible information leakage,highlighting its practicality for real-world privacy-sensitive network monitoring scenarios.展开更多
Zero-dimensional(0D)hybrid copper halides have attracted significant attention owing to their unique photophysical properties and remarkable structural diversity.In this work,two 0D self-assemblies compounds of copper...Zero-dimensional(0D)hybrid copper halides have attracted significant attention owing to their unique photophysical properties and remarkable structural diversity.In this work,two 0D self-assemblies compounds of copper iodide dimers were synthesized,namely,(4-MBTP)2(Cu2I4)0.5I(1)and(4-MBTP)(Cu2I4)0.5(2)(4-MBTP=(4-methylbenzyl)triphenylphosphonium chloride).Compound 1 exhibits blue emission centered at 474 nm,while compound 2 shows yellow emission centered at 559 nm at room temperature.The results combined with crystal structure,spectroscopy analysis,characterization,and theoretical studies reveal that the blue light of compound 1 stems from multiple defect states caused by the presence of I vacancies,while the yellow emission of compound 2 is attributed to through-space charge-transfer(TSCT)and cluster-centered(CC)excited state.Strikingly,the crystal structure can transform from compound 1 into compound 2 with luminescence color change from blue to yellow through treating with methanol.This work provides a structural transformation strategy of hybrid copper halides,as well as realizes the regulation of light emission from defect states to non-defect states,making them feasible candidates for information encryption and optical data storage.展开更多
Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudass...Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudassisted architecture faces two critical challenges:the untrusted cloud services and the separation of data ownership from control.Although Attribute-based Searchable Encryption(ABSE)provides fine-grained access control and keyword search over encrypted data,existing schemes lack of error tolerance in exact multi-keyword matching.In this paper,we proposed an attribute-based multi-keyword fuzzy searchable encryption with forward ciphertext search(FCS-ABMSE)scheme that avoids computationally expensive bilinear pairing operations on the IoT device side.The scheme supportsmulti-keyword fuzzy search without requiring explicit keyword fields,thereby significantly enhancing error tolerance in search operations.It further incorporates forward-secure ciphertext search to mitigate trapdoor abuse,as well as offline encryption and verifiable outsourced decryption to minimize user-side computational costs.Formal security analysis proved that the FCS-ABMSE scheme meets both indistinguishability of ciphertext under the chosen keyword attacks(IND-CKA)and the indistinguishability of ciphertext under the chosen plaintext attacks(IND-CPA).In addition,we constructed an enhanced variant based on type-3 pairings.Results demonstrated that the proposed scheme outperforms existing ABSE approaches in terms of functionalities,computational cost,and communication cost.展开更多
基金financially supported by Shanghai Pujiang Program 23PJ1406500.
摘要Black wings of butterfly Ornithoptera goliath and infrared-band radiative cooling function of Rapala dioetas butterfly wings are associated with black pigment(e.g.,melanin)and unique hierarchical microanostructures,greatly stimulating biomimetic fabrication of functional photonic structures but mainly targeted to one prototype.Targeted at two-prototype integrated biomimetic fabrication from fully compositional/structural/functional aspects,femtosecond(fs)laser subtractive/additive-integrated hierarchical microano-manufacturing technique is proposed in this work.This technique can one-step transfer refractory metals(e.g.,W,Mo,Nb,Ta)into black non-stoichiometric oxide nanomaterials with abundant oxygen vacancies and simultaneously enable the realization of in situ quasi-controllable microanoscale hierarchical aggregation and assembly,all displaying black color but with tunable infrared emission.Adjusting the scan interval for biomimetic manufacturing can tailor the structural oxidation degree,the emission in the long-wave infrared(LWIR)band while keeping the blackness of hierarchical aggregates,and the confined height between the covering quartz plate and the ablated sample.The blackening efficiency of this technique can reach∼11.25 cm2·min−1,opening opportunities for high-throughput opticalhermal applications.Selectively patterned Chinese characters,Arabic numbers,and English letters are easily fabricable,which are intrinsically invisible-infrared dual-band encrypted but decryptable via static/dynamic environment stimuli(e.g.,sample heating/cooling,introducing external hot/cold sources including human hands).The self-evolution from‘orderless’structuring to‘ordered’functionalization is validated for the proposed fs laser subtractive/additive-integrated biomimetic manufacturing,specifically from the synthesis of diverse black nanomaterials and the seemingly disordered microano-aggregates to the ordered opticalhermal regulation capacities for a delicate modulation of information encryption and decryption,unveiling a new concept for future exploration and extension.
基金supported by the National Natural Science Foundation of China (62373252, 62273174, 61973152)the Natural Science Foundation of Jiangsu Province of China (BK20230063)
摘要Dear Editor,This letter deals with the non-fragile filtering problem for the discrete-time networked system subject to fading measurements and potential risk of information leakage. To ensure the system security enhancement,an encryption-decryption scheme is employed to protect the privacy of the transmitted signal via network,under which the real transmitted data is invisible to eavesdroppers. Ultimately,a numerical example is provided to assess the accuracy and efficacy of the derived approaches.
基金supported by the National Natural Science Foundation of China(12471416,12171124,12301567)the Heilongjiang Provincial Natural Science Foundation of China(PL2024F015)+2 种基金the Postdoctoral Science Foundation of Heilongjiang Province of China(LBH-Z22199)the Fundamental Research Foun-dation for Universities of Heilongjiang Province of China(2022-KYYWF-0141)the Alexander von Humboldt Foundation of Germany.
摘要Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decryption mechanism is considered in the signal transmission process.Specifically,a novel DRSMF scheme is developed such that,for both state saturation and encryption-decryption mechanism,the filtering error(FE)is limited to the ellipsoid domain.Then,the filtering error constraint matrix(FECM)is computed and a desirable filter gain is derived by minimizing the FECM.Besides,the bound-edness evaluation of the FECM is provided.
摘要With the rapid development of information technology,data security issues have received increasing attention.Data encryption and decryption technology,as a key means of ensuring data security,plays an important role in multiple fields such as communication security,data storage,and data recovery.This article explores the fundamental principles and interrelationships of data encryption and decryption,examines the strengths,weaknesses,and applicability of symmetric,asymmetric,and hybrid encryption algorithms,and introduces key application scenarios for data encryption and decryption technology.It examines the challenges and corresponding countermeasures related to encryption algorithm security,key management,and encryption-decryption performance.Finally,it analyzes the development trends and future prospects of data encryption and decryption technology.This article provides a systematic understanding of data encryption and decryption techniques,which has good reference value for software designers.
基金supported by the Guangdong Major Project of Basic Research(Grant No.2020B0301030009)the National Natural Science Foundation of China(Grant Nos.12174204,12174203,12074203,62335012,and 62435010)+5 种基金the Natural Science Foundation of Guangdong Province(Grant No.2023A1515012888)the Science and Technology Innovation Commission of Shenzhen(Grant Nos.JCYJ20220818101417039 and JCYJ20241202124428038)the Medical-Engineering Interdisciplinary Research Foundation of Shenzhen University(Grant No.86901/00000311)the Scientific Instrument Developing Project of Shenzhen University(Grant No.2023YQ001)the Shenzhen University 2035 Initiative(Grant No.2023B004)the Key R&D Program of Zhejiang(Grant No.30003AA240100)。
摘要Speckle-based optical cryptosystems are promising technologies for information security.However,existing techniques mostly rely on digital decryption,resulting in computational delay and undermining the high-speed advantage of optical encryption.Moreover,conventional neural networks are typically effective only on images from the same distribution as the training datasets,limiting their general applicability.In this paper,we propose an all-optical high-speed decryption scheme for real-time recovery of speckle-encoded ciphertexts.By constructing a physics-informed diffractive neural network that approximates the inverse transmission matrix of the scattering medium,secret images can be directly reconstructed from speckle fields without optoelectronic conversion or post-processing.The network is trained with only 2048 samples from the MNIST dataset.Its transfer learning capability is validated across three out-of-distribution datasets,with decrypted images achieving a Pearson correlation coefficient of 0.82 and a structural similarity index measure of 0.75,demonstrating excellent transfer learning capability.For the first time,to our knowledge,this scheme simultaneously overcomes the bottlenecks of decryption delay and limited network generalizability in conventional speckle-based cryptosystems,achieving real-time image decryption with strong transferability.It provides a new pathway for developing low-power,real-time,and broadly applicable optical encryption systems,demonstrating significant potential for applications in high-speed security optical communications.
基金supported by the National Natural Science Foundation of China(Grant No.62202198)the Hunan Natural Science Foundation of China(Grant Nos.2024JJ7372 and 2022JJ40514)the Scientific Research Project of the Hunan Provincial Department of Education(Grant No.24A0550)。
摘要With the advancement of telemedicine technology,the security of digital medical images has become increasingly important.To address this issue,this paper proposes a visually meaningful color medical image encryption algorithm.First,a high-dimensional chaotic sequence is generated using a memristive Hopfield neural network.Subsequently,multichannel pixel permutation is performed based on a chaos-driven pseudo-random strategy,followed by the implementation of a double-layer diffusion mechanism integrating cellular automata and dynamic deoxyribonucleic acid(DNA)coding.Finally,a chaos-driven cross-channel least significant bit(LSB)embedding approach is adopted.Simulation experiments and security analyses demonstrate that the proposed algorithm achieves excellent encryption performance,a large key space,and strong robustness against noise and data-loss attacks,thereby effectively ensuring the secure transmission of digital medical images.
基金funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number PNURSP2026R500,Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
摘要The rapid growth in the field of data and cloud computing has made it essential to ensure information security.Encryption consists of multiple layers,among which a critical component is the Substitution box(S-box).The S-box provides nonlinearity and confusion between the original and cipher forms,and its performance directly determines the security of the cipher against cryptanalysis.Chaotic systems have been widely used for image encryption,however,they suffer from well known limitations such as deterministic periodicity and reduced unpredictability in finite field digital environments.To address these issues,we propose a new S-box generation scheme based on an improved chaotic map,which combines the Hénon chaotic map with Brownian motion,concept in thermodynamics.In the proposed method,the initial keys used in the permutation and diffusion stages interact with each other,thereby enhancing the complexity of the system.We leverage the sensitivity and periodicity of the Hénon map and inject a zigzag Brownian motion sequence into its iteration process to overcome limitations of standalone chaotic maps.The extended scheme is implemented,and a comprehensive security analysis is performed on various cipher images obtained through the modified design.The results of the analysis demonstrate strong security properties,while the running time of the proposed scheme is comparatively better.The proposed scheme is both novel and adaptable,making it suitable for enhancing resistance against differential and algebraic attacks.Hénon-map S-box with Brownian perturbation secures biomedical images(MRI/CT,ultrasound and Xrays)and biofluid sequences(micro-PIV/microfluidics).High unpredictability enables real-time encryption which preserves privacy of patient data/IP.
摘要Elliptic curve(EC)based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems.A substitution box(S-box)plays a vital role in securing modern symmetric key cryptosystems.However,the recently developed EC based algorithms usually trade off between computational efficiency and security,necessitating the design of a new algorithm with the desired cryptographic strength.To address these shortcomings,this paper proposes a new scheme based onMordell elliptic curve(MEC)over the complex field for generating distinct,dynamic,and highly uncorrelated S-boxes.Furthermore,we count the exact number of the obtained S-boxes,and demonstrate that the permuted version of the presented S-box is statistically optimal.The nonsingularity of the presented algorithm and the injectivity of the resultant output are explored.Rigorous theoretical analysis and experimental results demonstrate that the proposedmethod is highly effective in generating a large number of dynamic S-boxes with adequate cryptographic properties,surpassing current state-of-the-art S-box generation algorithms in terms of security.Apart fromthis,the generated S-box is benchmarked using side-channel attacks,and its performance is compared with highly nonlinear S-boxes,demonstrating comparable results.In addition,we present an application of our proposed S-box generator by incorporating it into an image encryption technique.The encrypted and decrypted images are tested by employing extensive standard security metrics,including the Number of Pixel Change Rate,the Unified Average Changing Intensity,information entropy,correlation coefficient,and histogram analysis.Moreover,the analysis is extended beyond conventional metrics to validate the new method using advanced tests,such as the NIST statistical test suite,robustness analysis,and noise and cropping attacks.Experimental outcomes show that the presented algorithm strengthens the existing encryption scheme against various well-known cryptographic attacks.
基金supported by the National Natural Science Foundation of China(62376106)The Science and Technology Development Plan of Jilin Province(20250102212JC).
摘要Driven by advancements in mobile internet technology,images have become a crucial data medium.Ensuring the security of image information during transmission has thus emerged as an urgent challenge.This study proposes a novel image encryption algorithm specifically designed for grayscale image security.This research introduces a new Cantor diagonal matrix permutation method.The proposed permutation method uses row and column index sequences to control the Cantor diagonal matrix,where the row and column index sequences are generated by a spatiotemporal chaotic system named coupled map lattice(CML).The high initial value sensitivity of the CML system makes the permutation method highly sensitive and secure.Additionally,leveraging fractal theory,this study introduces a chaotic fractal matrix and applies this matrix in the diffusion process.This chaotic fractal matrix exhibits selfsimilarity and irregularity.Using the Cantor diagonal matrix and chaotic fractal matrix,this paper introduces a fast image encryption algorithm involving two diffusion steps and one permutation step.Moreover,the algorithm achieves robust security with only a single encryption round,ensuring high operational efficiency.Experimental results show that the proposed algorithm features an expansive key space,robust security,high sensitivity,high efficiency,and superior statistical properties for the ciphered images.Thus,the proposed algorithm not only provides a practical solution for secure image transmission but also bridges fractal theory with image encryption techniques,thereby opening new research avenues in chaotic cryptography and advancing the development of information security technology.
摘要In today’s digitally connected world,where cyber threats are becoming increasingly complex,finding modern and secure text encryption solutions that maintain maximum runtime performance while offering high-level protection is more crucial.The deployment of sophisticated security paradigms is often accompanied by a significant escalation in computational overhead.Thus,the fundamental objective resides in the mitigation of computational overhead while maintaining an uncompromising security posture.Internet of Things(IoT)devices require strong security measures for data transmission.Also,protecting communication channels against illegal access and eavesdropping has become crucial due to the exponential expansion of the IoT.The IoT implementations frequently have weak,unencrypted data streams that are susceptible to manipulation and interception.In order to overcome this,the proposed work incorporates lightweight protection using Moving Picture Experts Group(MPEG)derived motion vectors and dual encryption techniques to guarantee message confidentiality and integrity via limited IoT networks.The proposed method starts with resizing MPEG video frames to dimensions[1080,1920].After extracting motion vectors from two successive video frames,scale the obtained vectors to 1000.The exclusive OR(XOR)procedure is applied to the combined motion vectors.A one-dimensional(1D)vector is then produced.The initial elliptic curve Diffie-Hellman(ECDH)private key is created using a mapping of a hash function.The public keys,shared secret keys,and a second private key are also created.The shared secret key is used to generate the Advanced Encryption Standard(AES)main key.After that,the created AES is used to encrypt and decrypt text messages ranging in length from 10 to 300 bytes.Several evaluation metrics,including mean square error(MSE),peak signal to noise ratio(PSNR),correlation coefficient(CC),avalanche Effect(AE),and compression ratio(CR)values,are evaluated between the original and ciphertext.The presented method has demonstrated optimal performance in terms of encryption and decryption times as well as public and private key generation.Thus,improving the IoT application’s overall security condition by guaranteeing that only authorized endpoints can decrypt and read the data,and showing minimal latency overhead as compared to insecure transmission.This suggests that it is a highly effective solution for secure text communication,offering lightweight encryption suitable for a wide range of resource-constrained and real-time applications.
基金financial supports from the Instrumental Analysis Center of SJTUthe financial support received from the Shanghai Pujiang Program(23PJ1406500).
摘要Metasurface fabrication still faces critical processing challenges in balancing the structural order and disorder, achieving high-speed patterning, and extending material compatibility to refractory metals for operation under extreme conditions. This study demonstrates that femtosecond laser maskless direct writing(fs-LMDW) offers a versatile platform for engineering multispectral information, all-in-one metasurfaces on pure zirconium(Zr)substrates. Through sequential fs-LMDW in air and ethylene glycol(EG), deceptive grey-colored visible information is superimposedly encoded with the infrared(IR)-encrypted information(invisible among black-color structured background), which leverages the crosstalk-free structural modulation of singular-band IR and visible light. The metasurface exhibits robust thermal stability and high-security encryption capability across a wide temperature range, with IR-concealed information(such as QR code) remaining securely encrypted until thermally activated at 300℃ for smartphone-readable information decryption. Furthermore, the visible information is both erasable through 300℃ oxidation heating in air and rewritable via fs-LMDW in EG without compromising IR encryption security. Particularly,the one-time complete erasability makes it possible to identify whether the encrypted IR-information has been decrypted, underscoring the robustness and high security of the platform. The presented hierarchical microanostructuring methodology is deemed to be applicable to a large material matrix to gain high-security, and multifunctional metasurfaces that are more difficult and complex for current metasurface fabrication techniques.
基金the Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R757),Princess Nourah bint Abdulrahman University,Riyadh,Saudi ArabiaImam Mohammad Ibn Saud Islamic University(IMSIU)for their support.
摘要Membership Inference Attacks(MIAs)pose a significant privacy risk in machine learning by enabling adversaries to infer whether specific data samples were used during training,particularly in sensitive domains such as social media and mental health analytics.To address this challenge,this paper proposes HEbdMIA,a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications.The proposed approach preserves the relative ordering of predictions while obscuring confidence patterns exploited by MIAs.Experimental evaluation on DepInferAttack and BotInferAttack demonstrates that HEbdMIA achieves a reduction in MIA success rates of 31.0%and 27.3%,respectively,with an associated accuracy decrease of 29.3%and 26.4%,reflecting a controlled privacy and utility trade-off.Additional analysis using precision,recall,F1-score,and ROC-AUC confirms a substantial decline in adversarial inference capability.These findings indicate that HEbdMIA provides an effective,scalable,and deployment-friendly solution for enhancing privacy in real-world machine learning systems.
基金financially supported by the National Nature Science Foundation of China(NSFC)(Grant No.52473253)Yunnan Major Scientific and Technological Projects(Grant No.202402AB080011)Sichuan Science and Technology Program(Grant No.2025NSFSC2075)。
摘要Multimodal luminescent materials are crucial for advanced information encryption,real-time dosimetry,and high-resolution bioimaging,yet integrating orthogonal stimulus-responsiveness into a single-component system is challenging.Herein,we report a Pr3+-doped Ca3Ga2Ge3O12(CGGO:Pr3+)garnet phosphor that exhibits orthogonally addressable luminescence under ultraviolet(UV)light,X-ray radiation,and thermal stimulation.This phosphor demonstrates dual spectrally distinct emissions with relative intensities that can be precisely modulated by varying the excitation wavelength or ambient temperature,enabling color tuning from blue to orange.Furthermore,time-resolved multi-color afterglow after UV or X-ray pre-excitation,along with thermally stimulated luminescence,provides complementary readout channels.Notably,CGGO:Pr3+exhibits dose-rate-and temperature-dependent color evolution(from blue-white to orange-white)under concurrent UV and X-ray irradiation,facilitating real-time naked-eye monitoring of both X-ray dose rate and temperature.By leveraging these orthogonal response modes,we demonstrate visual real-time X-ray dose and temperature detection,high-security X-ray imaging,and 3D-encrypted quick response codes.This study establishes CGGO:Pr3+as a versatile single-component platform for orthogonal stimuli-responsive applications,advancing the fields of dynamic information encryption and instantaneous X-ray dose-rate visualization.
基金supported by the Basic Research Project of Liaoning Provincial Department of Education(No.JYTQN2023208)the Soft Science Research Program of Huludao Science and Technology Bureau(No.2023JH(1)4/03b)the Research on Medical Image Encryption Technology of Med Encryption Cloud Platform for“Internet plus Medical”(No.S202310147023).
摘要The rapid advancement of remote sensing technology has heightened concerns over the security of sensitive information.This paper presents an intelligent encryption scheme for remote sensing images using dimensionality variation.The scheme employs two high-dimensional chaotic systems to generate keys for simultaneous row-column scrambling and diffusion.By mapping a two-dimensional(2D)plain-image to a three-dimensional(3D)space,pixels are rearranged within a 3D cube using a chaotic key,followed by auto-correlation cyclic diffusion.Experimental results demonstrate that this approach significantly enhances encryption security,making it suitable for secure remote sensing image communication.
基金Project supported in part by the Guangdong Basic and Applied Basics Research Foundation(Grant No.2026A1515011617)the Special Project in Key Area of General University in Guangdong Province of China(Grant No.2020ZDZX3064)the Innovation Team Project of General University in Guangdong Province of China(Grant No.2024KCXTD042)。
摘要With the widespread applications of digital images in fields such as medical imaging,remote sensing,and financial transactions,ensuring image confidentiality has become increasingly important.However,some existing image encryption schemes still suffer from limited key space and insufficient security.To address these,this paper proposes a novel color image encryption algorithm(CIEA-4DALHS)based on a newly constructed four-dimensional augmented Lü hyperchaotic system(4DALHS).The scheme integrates bidirectional spiral cross scrambling with arbitrary starting points and four traversal modes,bit-plane substitution for fine-grained pixel modification,and hierarchical regional segmentation diffusion with cross-channel cascading effects.These strategies significantly enhance both permutation and diffusion effects.Experimental results and security analysis demonstrate the superiority of CIEA-4DALHS.For example,the key space is sufficiently large,high ciphertext information entropy,and strong robustness against statistical and differential attacks.Compared with recent methods,the proposed scheme CIEA-4DALHS offers both high efficiency and security,highlighting its strong potential for real-world applications in image protection.
摘要Military image encryption plays a vital role in ensuring the secure transmission of sensitive visual information from unauthorized access.This paper proposes a new Tri-independent keying method for encrypting military images.The proposed encryption method is based on multilevel security stages of pixel-level scrambling,bitlevel manipulation,and block-level shuffling operations.For having a vast key space,the input password is hashed by the Secure Hash Algorithm 256-bit(SHA-256)for generating independently deterministic keys used in the multilevel stages.A piecewise pixel-level scrambling function is introduced to perform a dual flipping process controlled with an adaptive key for obscuring the spatial relationships between the adjacent pixels.Adynamicmasking scheme is presented for conducting a bit-level manipulation based on distinct keys that change over image regions,providing completely different encryption results on identical regions.To handle the global correlation between large-scale patterns,a chaotic index-map system is employed for shuffling image regions randomly across the image domain based on a logistic map seeded with a private key.Experimental results on a dataset of military images show the effectiveness of the proposed encryption method in producing excellent quantitative and qualitative results.The proposed method obtains uniform histogram distributions,high entropy values around the ideal(≈8 bits),Number of Pixel Change Rate(NPCR)values above 99.5%,and low Peak Signal-to-Noise Ratio(PSNR)over all encrypted images.This validates the robustness of the proposed method against cryptanalytic attacks,verifying its ability to serve as a practical basis for secure image transmission in defense systems.
基金financially supported by the Natural Science Foundation of Shandong Province(No.ZR2024QE446)。
摘要With the rapid development of intelligent electronic and military equipment,multifunctional flexible materials that integrat electromagnetic interference(EMI)shielding,temperature sensing,and information encryption are urgently required.This study presents a bio-inspired hierarchical composite foam fabricated using supercritical nitrogen foaming technology.This material exhibits a honeycomb structure,with pore cell sizes controllable within a range of 30–92μm by regulating the filler.The carbon fiber felt(CFf)provides efficient reflection of electromagnetic waves,while the chloroprene rubber/carbon fiber/carbon black foam facilitates both wave absorption and temperature monitoring through its optimized conductive network.This synergistic mechanism results in an EMI shielding effectiveness(SE)of 60.06 d B with excellent temperature sensing performance(The temperature coefficient of resistance(TCR)is-2.642%/℃)in the 24–70℃ range.Notably,the material has a thermal conductivity of up to 0.159 W/(m·K),and the bio-inspired layered design enables information encryption,demonstrating the material's potential for secure communication applications.The foam also has tensile properties of up to 5.13 MPa and a tear strength of 33.02 N/mm.This biomimetic design overcomes the traditional limitations of flexible materials and provides a transformative solution for next-generation applications such as flexible electronics,aerospace systems and military equipment,which urgently need integrated electromagnetic protection,thermal management and information security.
基金supported by the Ministry of Trade,Industry and Energy(MOTIE)under Training Industrial Security Specialist for High-Tech Industry[grant number RS-2024-00415520]supervised by the Korea Institute for Advancement of Technology(KIAT)Ministry of Science and ICT(MSIT)under the ICAN(ICT Challenge and Advanced Network of HRD)program[grant number IITP-2022-RS-2022-00156310]+1 种基金National Research Foundation of Korea(NRF)grant[RS-2025-00518150]the Information Security Core Technology Development program[grant number RS-2024-00437252]supervised by the Institute of Information&Communication Technology Planning&Evaluation(IITP).
摘要As cyberattacks become increasingly sophisticated and intelligent,demand for machine-learning-based anomaly detection systems is growing.However,conventional systems generally assume a trusted server environment,where traffic data is collected and analyzed in plaintext.This assumption introduces inherent privacy risks,as privacy-sensitive information may be exposed if the server is compromised or misused.To address this limitation,privacy-preserving anomaly detection approaches have been actively studied,enabling anomaly detection to be performed directly on encrypted traffic without revealing privacy-sensitive data.While these approaches offer strong confidentiality guarantees,they suffer from significant drawbacks,including substantial computational overhead,high latency,and degraded detection accuracy.To overcome these limitations,we propose a privacy-aware anomaly detection(PAAD)model that adaptively applies homomorphic encryption based on the privacy sensitivity of incoming traffic.Instead of encrypting all data indiscriminately,PAAD dynamically determines whether traffic should be processed in plaintext or ciphertext and performs homomorphic inference only for privacy-sensitive data.This selective encryption strategy effectively balances privacy protection and system efficiency.Extensive experiments conducted under diverse network environments demonstrate that the proposed PAAD model significantly outperforms conventional anomaly detection models.In particular,PAAD improves detection accuracy by up to 73%,reduces latency by up to 8.6 times,and achieves negligible information leakage,highlighting its practicality for real-world privacy-sensitive network monitoring scenarios.
基金supported by the National Natural Science Foundation of China(No.22171040)Guangdong Provincial Science&Technology Project(No.2023A0505050084)+2 种基金Shenyang Young and Middle-aged Science and Techonology Innovation Talent Support Program(No.RC230784)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515140011)Fundamental Research Funds for the Central Universities,China(No.N2305017)。
摘要Zero-dimensional(0D)hybrid copper halides have attracted significant attention owing to their unique photophysical properties and remarkable structural diversity.In this work,two 0D self-assemblies compounds of copper iodide dimers were synthesized,namely,(4-MBTP)2(Cu2I4)0.5I(1)and(4-MBTP)(Cu2I4)0.5(2)(4-MBTP=(4-methylbenzyl)triphenylphosphonium chloride).Compound 1 exhibits blue emission centered at 474 nm,while compound 2 shows yellow emission centered at 559 nm at room temperature.The results combined with crystal structure,spectroscopy analysis,characterization,and theoretical studies reveal that the blue light of compound 1 stems from multiple defect states caused by the presence of I vacancies,while the yellow emission of compound 2 is attributed to through-space charge-transfer(TSCT)and cluster-centered(CC)excited state.Strikingly,the crystal structure can transform from compound 1 into compound 2 with luminescence color change from blue to yellow through treating with methanol.This work provides a structural transformation strategy of hybrid copper halides,as well as realizes the regulation of light emission from defect states to non-defect states,making them feasible candidates for information encryption and optical data storage.
摘要Internet of Things(IoT)interconnects devices via network protocols to enable intelligent sensing and control.Resource-constrained IoT devices rely on cloud servers for data storage and processing.However,this cloudassisted architecture faces two critical challenges:the untrusted cloud services and the separation of data ownership from control.Although Attribute-based Searchable Encryption(ABSE)provides fine-grained access control and keyword search over encrypted data,existing schemes lack of error tolerance in exact multi-keyword matching.In this paper,we proposed an attribute-based multi-keyword fuzzy searchable encryption with forward ciphertext search(FCS-ABMSE)scheme that avoids computationally expensive bilinear pairing operations on the IoT device side.The scheme supportsmulti-keyword fuzzy search without requiring explicit keyword fields,thereby significantly enhancing error tolerance in search operations.It further incorporates forward-secure ciphertext search to mitigate trapdoor abuse,as well as offline encryption and verifiable outsourced decryption to minimize user-side computational costs.Formal security analysis proved that the FCS-ABMSE scheme meets both indistinguishability of ciphertext under the chosen keyword attacks(IND-CKA)and the indistinguishability of ciphertext under the chosen plaintext attacks(IND-CPA).In addition,we constructed an enhanced variant based on type-3 pairings.Results demonstrated that the proposed scheme outperforms existing ABSE approaches in terms of functionalities,computational cost,and communication cost.