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A Blockchain-Based Hybrid Framework for Secure and Scalable Electronic Health Record Management in In-Patient Follow-Up Tracking 认领 引用
1
作者 Ahsan Habib Siam Md.Ehsanul Haque +3 位作者 Fahmid Al Farid Anindita Sutradhar Jia Uddin Sarina Mansor 《Computers, Materials & Continua》 SCIE EI 2026年第3期798-822,共25页
As healthcare systems increasingly embrace digitalization,effective management of electronic health records(EHRs)has emerged as a critical priority,particularly in inpatient settings where data sensitivity and realtim... As healthcare systems increasingly embrace digitalization,effective management of electronic health records(EHRs)has emerged as a critical priority,particularly in inpatient settings where data sensitivity and realtime access are paramount.Traditional EHR systems face significant challenges,including unauthorized access,data breaches,and inefficiencies in tracking follow-up appointments,which heighten the risk of misdiagnosis and medication errors.To address these issues,this research proposes a hybrid blockchain-based solution for securely managing EHRs,specifically designed as a framework for tracking inpatient follow-ups.By integrating QR codeenabled data access with a blockchain architecture,this innovative approach enhances privacy protection,data integrity,and auditing capabilities,while facilitating swift and real-time data retrieval.The architecture adheres to Role-Based Access Control(RBAC)principles and utilizes robust encryption techniques,including SHA-256 and AES-256-CBC,to secure sensitive information.A comprehensive threat model outlines trust boundaries and potential adversaries,complemented by a validated data transmission protocol.Experimental results demonstrate that the framework remains reliable in concurrent access scenarios,highlighting its efficiency and responsiveness in real-world applications.This study emphasizes the necessity for hybrid solutions in managing sensitive medical information and advocates for integrating blockchain technology and QR code innovations into contemporary healthcare systems. 展开更多
关键词 Electronic health records blockchain data security user access control QR code blockchain in healthcare medical data privacy
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Integration of Blockchain-Based Financing in Traditional Coffee Supply Chains:A Systematic Review of Models,Challenge,and Opportunities 认领 引用
2
作者 Agriananta Fahmi Hidayat Taufik Djatna +1 位作者 Indah Yuliasih Ono Suparno 《Journal of Social Computing》 EI 2026年第2期194-212,共19页
The global coffee supply chain continues to face financial exclusion,value asymmetry,and structural inefficiencies that disadvantage smallholder farmers and cooperatives.Blockchain-enabled Coffee Supply Chain Finance(... The global coffee supply chain continues to face financial exclusion,value asymmetry,and structural inefficiencies that disadvantage smallholder farmers and cooperatives.Blockchain-enabled Coffee Supply Chain Finance(CSCF)has been promoted as a mechanism to automate transactions,enhance transparency,and support more equitable value distribution.This study conducts a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)protocol,analyzing 60 peer-reviewed publications during 2020–2024 to identify how blockchain is being adopted in CSCF.The findings show that blockchain especially when integrated with Internet of Things(IoT)and Artificial Intelligence(AI)improves traceability,lowers transaction frictions,and expands access to finance through smart contracts,tokenized assets,and blockchain-based crowdfunding models.These mechanisms reduce intermediary dependence and strengthen risk monitoring across supply-chain actors.However,adoption remains constrained by high implementation costs,interoperability challenges,regulatory uncertainty,and limited digital readiness among farmers and cooperatives.Unlike previous blockchain reviews focused mainly on traceability,this study provides the first structured synthesis linking blockchain functions to financing models,adoption determinants,and policy requirements in the coffee sector.The review offers strategic implications for cooperatives,policymakers,and financial institutions seeking to develop scalable and inclusive CSCF ecosystems. 展开更多
关键词 blockchain integration blockchain-based financing coffee supply chain finance(CSCF) supply chain transparency
Blockchain-Enabled Trusted Virtual Network Embedding in Intelligent Cyber-Physical Systems 认领 引用
3
作者 Zhu Hailong Huang Tao +2 位作者 Zhang Yi Chen Ning Zhang Peiying 《China Communications》 SCIE EI CSCD 2026年第1期175-188,共14页
With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Further... With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Furthermore,given the open environment and a multitude of devices,enhancing the security of ICPS is an urgent concern.To address these issues,this paper proposes a novel trusted virtual network embedding(T-VNE)approach for ICPS based combining blockchain and edge computing technologies.Additionally,the proposed algorithm leverages a deep reinforcement learning(DRL)model to optimize decision-making processes.It employs the policygradient-based agent to compute candidate embedding nodes and utilizes a breadth-first search(BFS)algorithm to determine the optimal embedding paths.Finally,through simulation experiments,the efficacy of the proposed method was validated,demonstrating outstanding performance in terms of security,revenue generation,and virtual network request(VNR)acceptance rate. 展开更多
关键词 blockchain cyber-physical system trusted embedding virtual network
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Overcoming Dynamic Connectivity in Internet of Vehicles:A DAG Lattice Blockchain with Reputation-Based Incentive 认领 引用
4
作者 Xiaodong Zhang Wenhan Hou +2 位作者 Juanjuan Wang Leixiao Li Pengfei Yue 《Computers, Materials & Continua》 SCIE EI 2026年第2期1803-1822,共20页
Blockchain offers a promising solution to the security challenges faced by the Internet of Vehicles(IoV).However,due to the dynamic connectivity of IoV,blockchain based on a single-chain structure or Directed Acyclic ... Blockchain offers a promising solution to the security challenges faced by the Internet of Vehicles(IoV).However,due to the dynamic connectivity of IoV,blockchain based on a single-chain structure or Directed Acyclic Graph(DAG)structure often suffer from performance limitations.The DAG lattice structure is a novel blockchain model in which each node maintains its own account chain,and only the node itself is allowed to update it.This feature makes the DAG lattice structure particularly suitable for addressing the challenges in dynamically connected IoV environment.In this paper,we propose a blockchain architecture based on the DAG lattice structure,specifically designed for dynamically connected IoV.In the proposed system,nodes must obtain authorization from a trusted authority before joining,forming a permissioned blockchain.Each node is assigned an individual account chain,allowing vehicles with limited storage capacity to participate in the blockchain by storing transactions only from nearby vehicles’account chains.Every transmitted message is treated as a transaction and added to the blockchain,enablingmore efficient data transmission in a dynamic network environment.Areputation-based incentivemechanism is introduced to encourage nodes to behave normally.Experimental results demonstrate that the proposed architecture achieves better performance compared with traditional single-chain and DAG-based approaches in terms of average transmission delay and storage cost. 展开更多
关键词 Blockchain Internet of vehicles dynamic connectivity DAG lattice incentive
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A Comprehensive Survey on Blockchain-Enabled Techniques and Federated Learning for Secure 5G/6G Networks:Challenges,Opportunities,and Future Directions 认领 引用
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作者 Muhammad Asim Abdelhamied A.Ateya +4 位作者 Mudasir Ahmad Wani Gauhar Ali Mohammed ElAffendi Ahmed A.Abd El-Latif Reshma Siyal 《Computers, Materials & Continua》 SCIE EI 2026年第3期117-161,共45页
The growing developments in 5G and 6G wireless communications have revolutionized communications technologies,providing faster speeds with reduced latency and improved connectivity to users.However,it raises significa... The growing developments in 5G and 6G wireless communications have revolutionized communications technologies,providing faster speeds with reduced latency and improved connectivity to users.However,it raises significant security challenges,including impersonation threats,data manipulation,distributed denial of service(DDoS)attacks,and privacy breaches.Traditional security measures are inadequate due to the decentralized and dynamic nature of next-generation networks.This survey provides a comprehensive review of how Federated Learning(FL),Blockchain,and Digital Twin(DT)technologies can collectively enhance the security of 5G and 6G systems.Blockchain offers decentralized,immutable,and transparent mechanisms for securing network transactions,while FL enables privacy-preserving collaborative learning without sharing raw data.Digital Twins create virtual replicas of network components,enabling real-time monitoring,anomaly detection,and predictive threat analysis.The survey examines major security issues in emerging wireless architectures and analyzes recent advancements that integrate FL,Blockchain,and DT to mitigate these threats.Additionally,it presents practical use cases,synthesizes key lessons learned,and identifies ongoing research challenges.Finally,the survey outlines future research directions to support the development of scalable,intelligent,and robust security frameworks for next-generation wireless networks. 展开更多
关键词 5G/6G blockchain federated learning edge computing security
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Adaptive Learned Index Construction with Sliding Windows for High-Throughput Blockchain Systems 认领 引用
6
作者 Jun Qi Chao Yang +4 位作者 Xinliu Wang Junyou Yang Haixin Wang Huaqin Chen Zhenyan Li 《Computers, Materials & Continua》 SCIE EI 2026年第6期1526-1556,共31页
With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in term... With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in terms of query efficiency and storage costs.This paper proposes a sliding window-based learned index construction method(SW-LI).The method consists of two key components.First,block timestamp-height samples are selected using a sliding window and used to train a linear regression model that captures the timestamp-to-height mapping.Second,an adaptive window adjustment mechanism is introduced:when the prediction error within a window exceeds a threshold,the window is contracted to improve local fitting accuracy;otherwise,it is expanded to accelerate global index construction.Together,these components dynamically balance model accuracy and training efficiency.Experimental results demonstrate that when the block count increases from 5000 to 25,000,SW-LI improves index construction efficiency by 69.22%-88.22%compared to Anole.Under a 10,000-block scale,its prediction error is reduced by an average of 80%compared to Sliding Window Search-enhanced Online Gradient Descent(SWS-OGD),with a storage overhead of only 60 KB(25,000 blocks),validating the method’s ability to maintain query accuracy while significantly enhancing indexing efficiency.When the block contains 4000 transactions,the average total query latency of SW-LI is 46.15%lower than that of Anole,which is only 2.7%of the average query latency of SWS-OGD(i.e.,approximately 37 times faster). 展开更多
关键词 Blockchain systems learned index sliding window adaptive adjustment query efficiency
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Secured-FL:Blockchain-Based Defense against Adversarial Attacks on Federated Learning Models 认领 引用
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作者 Bello Musa Yakubu Nor Shahida Mohd Jamail +1 位作者 Rabia Latif Seemab Latif 《Computers, Materials & Continua》 SCIE EI 2026年第3期734-757,共24页
Federated Learning(FL)enables joint training over distributed devices without data exchange but is highly vulnerable to attacks by adversaries in the form of model poisoning and malicious update injection.This work pr... Federated Learning(FL)enables joint training over distributed devices without data exchange but is highly vulnerable to attacks by adversaries in the form of model poisoning and malicious update injection.This work proposes Secured-FL,a blockchain-based defensive framework that combines smart contract-based authentication,clustering-driven outlier elimination,and dynamic threshold adjustment to defend against adversarial attacks.The framework was implemented on a private Ethereum network with a Proof-of-Authority consensus algorithm to ensure tamper-resistant and auditable model updates.Large-scale simulation on the Cyber Data dataset,under up to 50%malicious client settings,demonstrates Secured-FL achieves 6%-12%higher accuracy,9%-15%lower latency,and approximately 14%less computational expense compared to the PPSS benchmark framework.Additional tests,including confusion matrices,ROC and Precision-Recall curves,and ablation tests,confirm the interpretability and robustness of the defense.Tests for scalability also show consistent performance up to 500 clients,affirming appropriateness to reasonably large deployments.These results make Secured-FL a feasible,adversarially resilient FL paradigm with promising potential for application in smart cities,medicine,and other mission-critical IoT deployments. 展开更多
关键词 Federated learning(FL) blockchain FL based privacy model defense FL model security ethereum smart contract
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Introduction to the Special Issue on Machine learning and Blockchain for AIoT:Robustness,Privacy,Trust and Security 认领 引用
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作者 Ji Su Park Pan Yi Jong HyukPark 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期37-40,共4页
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI)and the Internet of Things (IoT). The AIoT system realizes real-time information acquisition through Io... Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI)and the Internet of Things (IoT). The AIoT system realizes real-time information acquisition through IoT sensors and performs intelligent data analysis tasks anywhere along the terminal-edge-cloud continuum,forming a smart and supportive ecosystem. However, AIoT systems face threats related to IoT data trust,system robustness, security, and privacy, making them susceptible to massive cyberattacks. This special issue on Machine Learning and Blockchain for AIoT was designed to showcase applications of machine learning and blockchain within the security domain of AIoT environments, as well as novel methodologies for addressing real-world challenges. The following summary synthesizes the key insights derived from these studies, highlighting their contributions to expanding both the theoretical horizons and practical applications of security within the AIoT landscape. 展开更多
关键词 artificial intelligence things intelligent data analysis tasks internet things smart supportive ecosystem massive cyberattacks machine learning blockchain artificial intelligence
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Randomizable Proxy Signature and Its Application in Blockchain 认领 引用
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作者 LIN Qun LIN Qi-Ping 《密码学报（中英文）》 CSCD 北大核心 2026年第2期379-390,共12页
This study proposes a randomizable proxy signature scheme,which is a new primitive,and proves that our proxy signature scheme is weakly secure,relying on the security of the PS signature scheme in the generic group mo... This study proposes a randomizable proxy signature scheme,which is a new primitive,and proves that our proxy signature scheme is weakly secure,relying on the security of the PS signature scheme in the generic group model.A randomizable proxy signature scheme allows an original signer to delegate his signing rights to a proxy signer,and then anyone can generate another valid proxy signature on the same message.Therefore,our signature scheme provides unlinkability,making it a practical tool for privacy preservation.Our construction,built upon groups with a Type 3 bilinear pairing,is efficient and results in a small signature size.These features make the randomizable proxy signature primitive particularly useful for building privacy-preserving protocols,such as blockchain,e-commerce,and cloud computing. 展开更多
关键词 proxy signatures randomizable signatures blockchain privacy-preserving
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A security authentication scheme for mobile industrial IoT supply chains based on blockchain and group key management 认领 引用
10
作者 ChaoYue Wang Xian Zhao +2 位作者 Qingyuan Liu Ting Chen Tao Liu 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期283-293,共11页
Driven by globalization and digitization,the Mobile Industrial Supply Chain Internet of Things(IoT)has gradually developed,utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient res... Driven by globalization and digitization,the Mobile Industrial Supply Chain Internet of Things(IoT)has gradually developed,utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient responses across various stages.However,with the growing demand for high-frequency data exchange,the Mobile Industrial Supply Chain IoT faces significant challenges in data security,authentication,and privacy protection.This paper proposes a security authentication scheme based on blockchain and group key management,leveraging the decentralized and tamper-resistant features of blockchain,the privacy-preserving authentication method of Zero-Knowledge Proofs(ZKP),and a hierarchical key management mechanism based on binary key trees.This approach aims to enhance the security and scalability of Mobile Industrial Supply Chain IoT.The experimental section simulates scenarios such as dynamic node addition and key updates,evaluating the performance in terms of encryption,decryption,and key management efficiency,thus demonstrating its superiority in multi-party collaborative environments. 展开更多
关键词 Blockchain IoT Authentication ZKP Key tree Mobile industrial supply chain
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A certificateless identity authentication scheme for UAVs via blockchain sharding 认领 引用
11
作者 Zhi-Peng Zhong Xiao Chen +3 位作者 Mu-Hong Huang Hao-Zhe Wang Sheng Cao Xiao-Song Zhang 《Journal of Electronic Science and Technology》 EI CAS CSCD 2026年第1期1-13,共13页
With the growing deployment of unmanned aerial vehicles(UAVs)swarms in national defense,military operations,and emergency response,secure and reliable intra-swarm identity authentication has become critical for ensuri... With the growing deployment of unmanned aerial vehicles(UAVs)swarms in national defense,military operations,and emergency response,secure and reliable intra-swarm identity authentication has become critical for ensuring coordinated action and mission reliability.To address the drawbacks of public key infrastructure(PKI)based authentication in UAV swarms,namely,complex certificate management,strong dependence on centralized authorities,and authentication latency.We propose a certificateless identity authentication scheme for UAV swarms built on blockchain sharding.The scheme leverages sharding to execute authentication in parallel across multiple shards,significantly improving efficiency.Each UAV locally generates its public/private key pair and then adopts a registration-based encryption(RBE)mechanism:A registration algorithm binds the device identity to its key on the blockchain,ensuring public verifiability and immutability of identity mapping.On this basis,an authentication algorithm runs in which the initiator produces an authentication signature using a common reference string(CRS),on-chain public-key registration information,and its local private key,and the verifier rapidly validates the authentication message using the on-chain registration data and the identity of the initiator.The experimental results demonstrate that the proposed scheme achieves low-latency and high-throughput identity authentication in large-scale UAV swarm environments,providing a solid technical foundation and broad application prospects for trustworthy UAV swarm identity authentication. 展开更多
关键词 Blockchain Certificateless Identity authentication Registration-based encryption UAV swarms
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Blockchain and Smart Contracts with Barzilai-Borwein Intelligence for Industrial Cyber-Physical System 认领 引用
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作者 Gowrishankar Jayaraman Ashok Kumar Munnangi +2 位作者 Ramesh Sekaran Arunkumar Gopu Manikandan Ramachandran 《Computers, Materials & Continua》 SCIE EI 2026年第3期916-935,共20页
Industrial Cyber-Physical Systems(ICPSs)play a vital role in modern industries by providing an intellectual foundation for automated operations.With the increasing integration of information-driven processes,ensuring ... Industrial Cyber-Physical Systems(ICPSs)play a vital role in modern industries by providing an intellectual foundation for automated operations.With the increasing integration of information-driven processes,ensuring the security of Industrial Control Production Systems(ICPSs)has become a critical challenge.These systems are highly vulnerable to attacks such as denial-of-service(DoS),eclipse,and Sybil attacks,which can significantly disrupt industrial operations.This work proposes an effective protection strategy using an Artificial Intelligence(AI)-enabled Smart Contract(SC)framework combined with the Heterogeneous Barzilai-Borwein Support Vector(HBBSV)method for industrial-based CPS environments.The approach reduces run time and minimizes the probability of attacks.Initially,secured ICPSs are achieved through a comprehensive exchange of views on production plant strategies for condition monitoring using SC and blockchain(BC)integrated within a BC network.The SC executes the HBBSV strategy to verify the security consensus.The Barzilai-Borwein Support Vectorized algorithm computes abnormal attack occurrence probabilities to ensure that components operate within acceptable production line conditions.When a component remains within these conditions,no security breach occurs.Conversely,if a component does not satisfy the condition boundaries,a security lapse is detected,and those components are isolated.The HBBSV method thus strengthens protection against DoS,eclipse,and Sybil attacks.Experimental results demonstrate that the proposed HBBSV approach significantly improves security by enhancing authentication accuracy while reducing run time and authentication time compared to existing techniques. 展开更多
关键词 Industrial CPS security artificial intelligence blockchain smart contract heterogeneous
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An Improved Blockchain-Based Cloud Auditing Scheme Using Dynamic Aggregate Signatures 认领 引用
13
作者 Haibo Lei Xu An Wang +4 位作者 Wenhao Liu Lingling Wu Chao Zhang Weiwei Jiang Xiao Zou 《Computers, Materials & Continua》 SCIE EI 2026年第2期1599-1629,共31页
With the rapid expansion of the Internet of Things(IoT),user data has experienced exponential growth,leading to increasing concerns about the security and integrity of data stored in the cloud.Traditional schemes rely... With the rapid expansion of the Internet of Things(IoT),user data has experienced exponential growth,leading to increasing concerns about the security and integrity of data stored in the cloud.Traditional schemes relying on untrusted third-party auditors suffer from both security and efficiency issues,while existing decentralized blockchain-based auditing solutions still face shortcomings in correctness and security.This paper proposes an improved blockchain-based cloud auditing scheme,with the following core contributions:Identifying critical logical contradictions in the original scheme,thereby establishing the foundation for the correctness of cloud auditing;Designing an enhanced mechanism that integrates multiple hashing with dynamic aggregate signatures,binding encrypted blocks through bilinear pairings and BLS signatures,and improving the scheme by setting parameters based on the Computational Diffie-Hellman(CDH)problem,significantly strengthening data integrity protection and anti-forgery capabilities;Introducing a random challenge mechanism and dynamic parameter adjustment strategy,effectively resisting various attacks such as forgery,tampering,and deletion,significantly improving the detection probability of malicious Cloud Service Providers(CSPs),and significantly reducing the proof generation overhead for CSPswhilemaintaining the same computational cost forDataOwners.Theoretical analysis and performance evaluation experiments demonstrate that the proposed scheme achieves significant improvements in both security and efficiency.Finally,the paper explores potential applications of the Enhanced Security Scheme in fields such as healthcare,drone swarms,and government office attendance systems,providing an effective approach for building secure,efficient,and decentralized cloud auditing systems. 展开更多
关键词 Cloud auditing cloud storage blockchain data integrity BLS signatures
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Optimizing Resource Allocation in Blockchain Networks Using Neural Genetic Algorithm 认领 引用
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作者 Malvinder Singh Bali Weiwei Jiang +2 位作者 Saurav Verma Kanwalpreet Kour Ashwini Rao 《Computers, Materials & Continua》 SCIE EI 2026年第2期1580-1598,共19页
In recent years,Blockchain Technology has become a paradigm shift,providing Transparent,Secure,and Decentralized platforms for diverse applications,ranging from Cryptocurrency to supply chain management.Nevertheless,t... In recent years,Blockchain Technology has become a paradigm shift,providing Transparent,Secure,and Decentralized platforms for diverse applications,ranging from Cryptocurrency to supply chain management.Nevertheless,the optimization of blockchain networks remains a critical challenge due to persistent issues such as latency,scalability,and energy consumption.This study proposes an innovative approach to Blockchain network optimization,drawing inspiration from principles of biological evolution and natural selection through evolutionary algorithms.Specifically,we explore the application of genetic algorithms,particle swarm optimization,and related evolutionary techniques to enhance the performance of blockchain networks.The proposed methodologies aim to optimize consensus mechanisms,improve transaction throughput,and reduce resource consumption.Through extensive simulations and real-world experiments,our findings demonstrate significant improvements in network efficiency,scalability,and stability.This research offers a thorough analysis of existing optimization techniques,introduces novel strategies,and assesses their efficacy based on empirical outputs. 展开更多
关键词 Blockchain technology energy efficiency environmental impact evolutionary algorithms optimization
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Blockchain-Based Transparent Certificateless Data Integrity Auditing with Enhanced Tag Security 认领 引用
15
作者 Chao Zhang Weidong Zhong +6 位作者 Xu An Wang Weiwei Jiang Ziteng Wang Miao Tian Jianhong Ling Hangjiang Du Yunhui Duan 《Computers, Materials & Continua》 SCIE EI 2026年第8期948-976,共29页
The integrity risks posed by data outsourcing in cloud storage have driven the development of remote data integrity auditing(RDIA)technologies.However,traditional schemes rely on trusted third-party auditors(TPAs),lea... The integrity risks posed by data outsourcing in cloud storage have driven the development of remote data integrity auditing(RDIA)technologies.However,traditional schemes rely on trusted third-party auditors(TPAs),leading to potential collusion and single-point failure vulnerabilities.The integration of blockchain alleviates these issues through decentralization and transparency,yet existing blockchain-based certificateless auditing schemes still suffer from security flaws in the tag generation phase.Addressing the tag forgery vulnerability in Miao et al.’s scheme,which stems from the absence of random parameters in the hash function input,this paper proposes a lightweight enhancement mechanism:incorporating a random factor into the hash input during tag generation to ensure dynamic unforgeability of tags.While retaining the efficiency advantages of the original framework,the improved scheme achieves resistance against tag forgery,proof forgery,and collusion attacks under the Computational Diffie-Hellman(CDH)and Discrete Logarithm(DL)hardness assumptions,validated through rigorous formal proofs.Experimental performance analysis demonstrates that the proposed enhanced scheme introduces negligible computational overhead,providing a secure,practical,and transparent auditing solution for multi-cloud storage environments. 展开更多
关键词 Blockchain tag security certificateless cryptography data integrity auditing cloud storage
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An AI-Blockchain Hybrid Model to Enhance Security and Trust in Web 4.0 认领 引用
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作者 Samer R.Sabbah Mohammad Rasmi Al-Mousa +4 位作者 Ala’a Al-Shaikh Ahmad Al Smadi Suhaila Abuowaida Amina Salhi Arij Alfaidi 《Computers, Materials & Continua》 SCIE EI 2026年第7期1006-1023,共18页
Web 4.0 platforms introduce intelligent,decentralized agents and real-time interactions that increase both utility and attack surface.This paper presents a comprehensive,reproducible AI blockchain hybrid designed to(1... Web 4.0 platforms introduce intelligent,decentralized agents and real-time interactions that increase both utility and attack surface.This paper presents a comprehensive,reproducible AI blockchain hybrid designed to(1)detect SQL injection attacks at scale using a textual TFIDF+machine-learning pipeline,(2)incorporate reputation signals from a real-world Bitcoin OTC trust dataset to compute a TrustAlert Score(TAS)that prioritizes alerts and guides logging policy,and(3)record privacy-preserving audit digests on blockchain,optionally attested via a zero-knowledge proof(ZKP)pipeline.We evaluate the system on a 148 k SQL corpus and Soc-SignBitcoinOTC reputation data.The detection module achieves high accuracy(0.9797),F1(0.9807),and ROCAUC(0.9972).TAS effectively separates malicious from benign events(TAS AUC=0.96)and enables selective on-chain logging to reduce cost.Blockchain benchmarks indicate that local(Ganache)throughput is adequate for batched logging,while public testnet(Goerli)exhibits significantly higher latency and gas usage;ZKP attachments further increase on-chain cost.We discuss practical deployment patterns(digest-only on-chain,Layer2 batching),propose evaluation extensions(transfer learning,adversarial red-teaming),and release reproducible scripts for the community. 展开更多
关键词 Web 4.0 SQL injection machine learning blockchain zero-knowledge proof trust score TFIDF security logging
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A Blockchain-Based Efficient Verification Scheme for Context Semantic-Aware Ciphertext Retrieval 认领 引用
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作者 Haochen Bao Lingyun Yuan +2 位作者 Tianyu Xie Han Chen Hui Dai 《Computers, Materials & Continua》 SCIE EI 2026年第1期550-579,共30页
In the age of big data,ensuring data privacy while enabling efficient encrypted data retrieval has become a critical challenge.Traditional searchable encryption schemes face difficulties in handling complex semantic q... In the age of big data,ensuring data privacy while enabling efficient encrypted data retrieval has become a critical challenge.Traditional searchable encryption schemes face difficulties in handling complex semantic queries.Additionally,they typically rely on honest but curious cloud servers,which introduces the risk of repudiation.Furthermore,the combined operations of search and verification increase system load,thereby reducing performance.Traditional verification mechanisms,which rely on complex hash constructions,suffer from low verification efficiency.To address these challenges,this paper proposes a blockchain-based contextual semantic-aware ciphertext retrieval scheme with efficient verification.Building on existing single and multi-keyword search methods,the scheme uses vector models to semantically train the dataset,enabling it to retain semantic information and achieve context-aware encrypted retrieval,significantly improving search accuracy.Additionally,a blockchain-based updatable master-slave chain storage model is designed,where the master chain stores encrypted keyword indexes and the slave chain stores verification information generated by zero-knowledge proofs,thus balancing system load while improving search and verification efficiency.Finally,an improved non-interactive zero-knowledge proof mechanism is introduced,reducing the computational complexity of verification and ensuring efficient validation of search results.Experimental results demonstrate that the proposed scheme offers stronger security,balanced overhead,and higher search verification efficiency. 展开更多
关键词 Searchable encryption blockchain context semantic awareness zero-knowledge proof
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Design of Consensus Algorithm for UAV Swarm Identity Authentication Based on Lightweight Blockchain 认领 引用
18
作者 Yuji Sang Lijun Liu +2 位作者 Long Lv Husheng Wu Hemin Yin 《Computers, Materials & Continua》 SCIE EI 2026年第5期639-663,共25页
Aiming at the challenges of low throughput,excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance(PBFT)algorithm in blockchain networks,its application in identity ver... Aiming at the challenges of low throughput,excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance(PBFT)algorithm in blockchain networks,its application in identity verification for distributed networking of a drone cluster is limited.Therefore,a lightweight blockchainbased identity authentication model for UAV swarms is designed,and a Credit-score and Grouping-mechanism Practical Byzantine Fault Tolerance(CG-PBFT)algorithm is proposed.CG-PBFT introduces a reputation score evaluation mechanism,classifies the reputation levels of nodes in the network,and optimizes the consensus process based on grouping consensus and BLS aggregate signature technology.Experimental results demonstrate that under identical experimental conditions,compared with the PBFT algorithm,CG-PBFT achieves a 250%increase in average throughput,a 70%reduction in average latency,and simultaneous enhancement in security,thus making it more suitable for UAV swarm networks. 展开更多
关键词 UAV swarm network blockchain PBFT consensus algorithm credit score
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HATLedger:An Approach to Hybrid Account and Transaction Partitioning for Sharded Permissioned Blockchains 认领 引用
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作者 Shuai Zhao Zhiwei Zhang +2 位作者 Junkai Wang Ye Yuan Guoren Wang 《Computers, Materials & Continua》 SCIE EI 2026年第3期1589-1607,共19页
With the development of sharded blockchains,high cross-shard rates and load imbalance have emerged as major challenges.Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates... With the development of sharded blockchains,high cross-shard rates and load imbalance have emerged as major challenges.Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates.Account partitioning based on historical transaction graphs is effective in reducing cross-shard rates but suffers from load imbalance and limited adaptability to dynamic workloads.Meanwhile,because of the coupling between consensus and execution,a target shard must receive both the partitioned transactions and the partitioned accounts before initiating consensus and execution.However,we observe that transaction partitioning and subsequent consensus do not require actual account data but only need to determine the relative partition order between shards.Therefore,we propose a novel sharded blockchain,called HATLedger,based on Hybrid Account and Transaction partitioning.First,HATLedger proposes building a future transaction graph to detect upcoming hotspot accounts and making more precise account partitioning to reduce transaction cross-shard rates.In the event of an impending overload,the source shard employs simulated partition transactions to specify the partition order across multiple target shards,thereby rapidly partitioning the pending transactions.The target shards can reach consensus on received transactions without waiting for account data.The source shard subsequently sends the account data to the corresponding target shards in the order specified by the previously simulated partition transactions.Based on real transaction history from Ethereum,we conducted extensive sharding scalability experiments.By maintaining low cross-shard rates and a relatively balanced load distribution,HATLedger achieves throughput improvements of 2.2x,1.9x,and 1.8x over SharPer,Shard Scheduler,and TxAllo,respectively,significantly enhancing efficiency and scalability. 展开更多
关键词 Sharded blockchain account partitioning cross-shard transaction rate load imbalance
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V-track:Blockchain-enabled IoT system for reliable vehicle location verification 认领 引用
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作者 Mritunjay Shall Peelam Kunjan Shah Vinay Chamola 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期119-133,共15页
Location-Based Services(LBS)have greatly improved efficiency and functionality in various domains,but privacy and security concerns remain due to the centralized nature of many existing systems.To address these issues... Location-Based Services(LBS)have greatly improved efficiency and functionality in various domains,but privacy and security concerns remain due to the centralized nature of many existing systems.To address these issues,this paper introduces the V-Track system,a decentralized architecture using blockchain technology for reliable vehicle location verification.By integrating GPS devices(Spark Fun GPS NEO-M9),IoT-enabled sensors,and a Cosmos blockchain-based ledger(network of interconnected blockchains),V-Track aims to solve centralized LBS problems.Through rigorous simulation experiments,this paper evaluates the performance and security of the V-Track system and demonstrates its potential to provide reliable location verification while preserving user privacy.This paper makes significant contributions by presenting V-Track as a decentralized solution to centralized LBS privacy and security problems,enhancing reliability and trustworthiness through blockchain integration,improving tracking mechanisms with GPS devices and IoT sensors for improved accuracy,and providing a privacy-preserving alternative to centralized LBS through its decentralized design and use of blockchain technology.These advancements hold promise for applications across multiple sectors,including logistics,supply chain management,urban planning,and emerging fields such as autonomous vehicles and augmented reality. 展开更多
关键词 GPS IoT Blockchain Proof-of-location GPS spoofing
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