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Development Methodologies for Network Softwarization: A Comparison of DevOps, NetOps, and Verification 认领 引用
1
作者 Mehmet Beyaz 《International Journal of Communications, Network and System Sciences》 2023年第5期97-104,共8页
This white paper explores three popular development methodologies for network softwarization: DevOps, NetOps, and Verification. The paper compares and contrasts the strengths and weaknesses of each approach and provid... This white paper explores three popular development methodologies for network softwarization: DevOps, NetOps, and Verification. The paper compares and contrasts the strengths and weaknesses of each approach and provides recommendations for organizations looking to adopt network softwarization. 展开更多
关键词 Development Methodologies Network Softwarization DevOps NetOps Verification Software-Defined Networking Network Function Virtualization Automation Collaboration Testing Validation Network Operations Network Management
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A Novel Synthetic Dataset for Effective Detection of Replay Attacks in SDN-Enabled IoT Networks 认领 引用
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作者 Nader Karmous Leila Bousbia +2 位作者 Mohamed Ould-Elhassen Aoueileyine Imen Filali Ridha Bouallegue 《Computers, Materials & Continua》 SCIE EI 2026年第7期700-735,共36页
This study proposes an intelligent Intrusion Detection and Prevention System(IDPS)integrated into a centralized Ryu Software-Defined Networking(SDN)controller to mitigate replay attacks within Internet of Things(IoT)e... This study proposes an intelligent Intrusion Detection and Prevention System(IDPS)integrated into a centralized Ryu Software-Defined Networking(SDN)controller to mitigate replay attacks within Internet of Things(IoT)environments.To address the scarcity of specialized datasets,a comprehensive dataset was generated using a real-time SDN-IoT testbed encompassing Mininet,multiple OpenFlow 1.3 switches,and a single Ryu controller.The experimental setup featured the exchange of legitimate and malicious Message Queuing Telemetry Transport(MQTT)traffic between hosts and IoT devices to simulate realistic network behaviors and attack vectors.Our methodology introduces a novel feature engineering framework by evaluating three distinct configurations,including:(1)preprocessed features,(2)data reduced through Principal Component Analysis(PCA),and(3)latent representations extracted via a Variational Autoencoder(VAE).Four distinct classifiers were rigorously benchmarked,including Random Forest(RF),Support Vector Machine(SVM),Extreme Gradient Boosting(XGBoost),and a Convolutional Neural Network(CNN).Performance metrics were derived from 50 independent runs and validated through paired t-tests and Wilcoxon signed-rank tests.The results demonstrate that VAE-based deep feature extraction significantly improves detection accuracy.Notably,the CNN trained on these features achieved a peak accuracy of 99.91%and a false alarm rate of 0.19%.The framework’s real-time effectiveness and scalability were validated through live deployment,offering a robust and reproducible solution for securing SDN-enabled IoT infrastructures.Ultimately,our proposed CNN-VAE approach demonstrates superior performance and higher detection precision compared to existing related works in the field of IoT intrusion detection. 展开更多
关键词 Replay attacks man in the middle cybersecurity software defined networking Internet of Things machine learning artificial intelligence deep learning variational autoencoder feature selection principal component analysis Wilcoxon signed-rank
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Structural Features and Robustness of Coupled Software Networks 认领 引用
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作者 WANG Ershen TONG Zeqi +4 位作者 HONG Chen WANG Yanwen MEI Sen XU Song NA La 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2025年第6期801-812,共12页
Software systems play increasing important roles in modern society,and the ability against attacks is of great practical importance to crucial software systems,resulting in that the structure and robustness of softwar... Software systems play increasing important roles in modern society,and the ability against attacks is of great practical importance to crucial software systems,resulting in that the structure and robustness of software systems have attracted a tremendous amount of interest in recent years.In this paper,based on the source code of Tar and MySQL,we propose an approach to generate coupled software networks and construct three kinds of directed software networks:The function call network,the weakly coupled network and the strongly coupled network.The structural properties of these complex networks are extensively investigated.It is found that the average influence and the average dependence for all functions are the same.Moreover,eight attacking strategies and two robustness indicators(the weakly connected indicator and the strongly connected indicator)are introduced to analyze the robustness of software networks.This shows that the strongly coupled network is just a weakly connected network rather than a strongly connected one.For MySQL,high in-degree strategy outperforms other attacking strategies when the weakly connected indicator is used.On the other hand,high out-degree strategy is a good choice when the strongly connected indicator is adopted.This work will highlight a better understanding of the structure and robustness of software networks. 展开更多
关键词 software network software structure software robustness software system complex network
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A New Dataset for Network Flooding Attacks in SDN-Based IoT Environments 认领 引用 被引量：3
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作者 Nader Karmous Wadii Jlassi +2 位作者 Mohamed Ould-Elhassen Aoueileyine Imen Filali Ridha Bouallegue 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第12期4363-4393,共31页
This paper introduces a robust Distributed Denial-of-Service attack detection framework tailored for Software-Defined Networking based Internet of Things environments,built upon a novel,syntheticmulti-vector dataset g... This paper introduces a robust Distributed Denial-of-Service attack detection framework tailored for Software-Defined Networking based Internet of Things environments,built upon a novel,syntheticmulti-vector dataset generated in a Mininet-Ryu testbed using real-time flow-based labeling.The proposed model is based on the XGBoost algorithm,optimized with Principal Component Analysis for dimensionality reduction,utilizing lightweight flowlevel features extracted from Open Flow statistics to classify attacks across critical IoT protocols including TCP,UDP,HTTP,MQTT,and CoAP.The model employs lightweight flow-level features extracted from Open Flow statistics to ensure low computational overhead and fast processing.Performance was rigorously evaluated using key metrics,including Accuracy,Precision,Recall,F1-Score,False Alarm Rate,AUC-ROC,and Detection Time.Experimental results demonstrate the model’s high performance,achieving an accuracy of 98.93%and a low FAR of 0.86%,with a rapid median detection time of 1.02 s.This efficiency validates its superiority in meeting critical Key Performance Indicators,such as Latency and high Throughput,necessary for time-sensitive SDN-IoT systems.Furthermore,the model’s robustness and statistically significant outperformance against baseline models such as Random Forest,k-Nearest Neighbors,and Gradient Boosting Machine,validating through statistical tests using Wilcoxon signed-rank test and confirmed via successful deployment in a real SDN testbed for live traffic detection and mitigation. 展开更多
关键词 Cybersecurity SDN IoT ML AI dataset software defined networking flooding DDoS attacks threat Wilcoxon
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A Survey of Link Failure Detection and Recovery in Software-Defined Networks 认领 引用
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作者 Suheib Alhiyari Siti Hafizah AB Hamid Nur Nasuha Daud 《Computers, Materials & Continua》 SCIE EI 2025年第1期103-137,共35页
Software-defined networking(SDN)is an innovative paradigm that separates the control and data planes,introducing centralized network control.SDN is increasingly being adopted by Carrier Grade networks,offering enhance... Software-defined networking(SDN)is an innovative paradigm that separates the control and data planes,introducing centralized network control.SDN is increasingly being adopted by Carrier Grade networks,offering enhanced networkmanagement capabilities than those of traditional networks.However,because SDN is designed to ensure high-level service availability,it faces additional challenges.One of themost critical challenges is ensuring efficient detection and recovery from link failures in the data plane.Such failures can significantly impact network performance and lead to service outages,making resiliency a key concern for the effective adoption of SDN.Since the recovery process is intrinsically dependent on timely failure detection,this research surveys and analyzes the current literature on both failure detection and recovery approaches in SDN.The survey provides a critical comparison of existing failure detection techniques,highlighting their advantages and disadvantages.Additionally,it examines the current failure recovery methods,categorized as either restoration-based or protection-based,and offers a comprehensive comparison of their strengths and limitations.Lastly,future research challenges and directions are discussed to address the shortcomings of existing failure recovery methods. 展开更多
关键词 Software defined networking failure detection failure recovery restoration protection
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A Decentralized and TCAM-Aware Failure Recovery Model in Software Defined Data Center Networks 认领 引用
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作者 Suheib Alhiyari Siti Hafizah AB Hamid Nur Nasuha Daud 《Computers, Materials & Continua》 SCIE EI 2025年第1期1087-1107,共21页
Link failure is a critical issue in large networks and must be effectively addressed.In software-defined networks(SDN),link failure recovery schemes can be categorized into proactive and reactive approaches.Reactive s... Link failure is a critical issue in large networks and must be effectively addressed.In software-defined networks(SDN),link failure recovery schemes can be categorized into proactive and reactive approaches.Reactive schemes have longer recovery times while proactive schemes provide faster recovery but overwhelm the memory of switches by flow entries.As SDN adoption grows,ensuring efficient recovery from link failures in the data plane becomes crucial.In particular,data center networks(DCNs)demand rapid recovery times and efficient resource utilization to meet carrier-grade requirements.This paper proposes an efficient Decentralized Failure Recovery(DFR)model for SDNs,meeting recovery time requirements and optimizing switch memory resource consumption.The DFR model enables switches to autonomously reroute traffic upon link failures without involving the controller,achieving fast recovery times while minimizing memory usage.DFR employs the Fast Failover Group in the OpenFlow standard for local recovery without requiring controller communication and utilizes the k-shortest path algorithm to proactively install backup paths,allowing immediate local recovery without controller intervention and enhancing overall network stability and scalability.DFR employs flow entry aggregation techniques to reduce switch memory usage.Instead of matching flow entries to the destination host’s MAC address,DFR matches packets to the destination switch’s MAC address.This reduces the switches’Ternary Content-Addressable Memory(TCAM)consumption.Additionally,DFR modifies Address Resolution Protocol(ARP)replies to provide source hosts with the destination switch’s MAC address,facilitating flow entry aggregation without affecting normal network operations.The performance of DFR is evaluated through the network emulator Mininet 2.3.1 and Ryu 3.1 as SDN controller.For different number of active flows,number of hosts per edge switch,and different network sizes,the proposed model outperformed various failure recovery models:restoration-based,protection by flow entries,protection by group entries and protection by Vlan-tagging model in terms of recovery time,switch memory consumption and controller overhead which represented the number of flow entry updates to recover from the failure.Experimental results demonstrate that DFR achieves recovery times under 20 milliseconds,satisfying carrier-grade requirements for rapid failure recovery.Additionally,DFR reduces switch memory usage by up to 95%compared to traditional protection methods and minimizes controller load by eliminating the need for controller intervention during failure recovery.Theresults underscore the efficiency and scalability of the DFR model,making it a practical solution for enhancing network resilience in SDN environments. 展开更多
关键词 Software defined networking failure detection failure recovery restoration protection TCAM size
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Explainable Hybrid AI Model for DDoS Detection in SDN-Enabled Internet of Vehicle 认领 引用
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作者 Oumaima Saidani Nazia Azim +5 位作者 Ateeq Ur Rehman Akbayan Bekarystankyzy Hala Abdel Hameed Mostafa Mohamed R.Abonazel Ehab Ebrahim Mohamed Ebrahim Sarah Abu Ghazalah 《Computers, Materials & Continua》 SCIE EI 2026年第5期499-526,共28页
The convergence of Software Defined Networking(SDN)in Internet of Vehicles(IoV)enables a flexible,programmable,and globally visible network control architecture across Road Side Units(RSUs),cloud servers,and automobil... The convergence of Software Defined Networking(SDN)in Internet of Vehicles(IoV)enables a flexible,programmable,and globally visible network control architecture across Road Side Units(RSUs),cloud servers,and automobiles.While this integration enhances scalability and safety,it also raises sophisticated cyberthreats,particularly Distributed Denial of Service(DDoS)attacks.Traditional rule-based anomaly detection methods often struggle to detectmodern low-and-slowDDoS patterns,thereby leading to higher false positives.To this end,this study proposes an explainable hybrid framework to detect DDoS attacks in SDN-enabled IoV(SDN-IoV).The hybrid framework utilizes a Residual Network(ResNet)to capture spatial correlations and a Bi-Long Short-Term Memory(BiLSTM)to capture both forward and backward temporal dependencies in high-dimensional input patterns.To ensure transparency and trustworthiness,themodel integrates the Explainable AI(XAI)technique,i.e.,SHapley Additive exPlanations(SHAP).SHAP highlights the contribution of each feature during the decision-making process,facilitating security analysts to understand the rationale behind the attack classification decision.The SDN-IoV environment is created in Mininet-WiFi and SUMO,and the hybrid model is trained on the CICDDoS2019 security dataset.The simulation results reveal the efficacy of the proposed model in terms of standard performance metrics compared to similar baseline methods. 展开更多
关键词 Explainable AI software defined networking Internet of vehicles DDoS attack ResNet BiLSTM
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RADAR:A rapid discovery algorithm for routes in SDN-based IoV 认领 引用
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作者 Zahid Khan Nauman Khan +2 位作者 Anis Koubaa Adel Ammar Wadii Boulila 《Digital Communications and Networks》 SCIE EI CSCD 2026年第3期495-504,共10页
Link failures are a critical issue that disrupts consistent communications in the fast-evolving Internet-of-Vehicles(IoV)environment.In response to the aforementioned limitation,we introduce the rapid discovery algori... Link failures are a critical issue that disrupts consistent communications in the fast-evolving Internet-of-Vehicles(IoV)environment.In response to the aforementioned limitation,we introduce the rapid discovery algorithm for routes(RADAR),a novel scheme designed for rapid route discovery in the event of abrupt link failures or topological changes.Built on a heuristic Theta*algorithm,RADAR operates within a three-layered Software-Defined Networking(SDN)architecture to ensure seamless communications.The first layer collects vital vehicle information,including location,speed,direction,and vehicle ID.The second layer uses an SDN edge controller to carry out local and intra-zone path discovery with the T heta*heuristic algorithm.The third layer introduces a global controller that oversees inter-zone route discovery,thereby expanding the network's reach and capabilities.To validate RADAR's effectiveness,we compare its performance to those of Dijkstra-based and A*path planning algorithms across key metrics—Route Discovery Messages(RDM),Path Length(PL),and Route Discovery Time(RDT).Our analysis shows significant improvements with RADAR over Dijkstra,achieving up to an 80% increase in RDM,20% in PL,and 70% in RDT.It also surpasses A*by up to 70% in RDM and 60% in RDT.These results indicate that RADAR enhances routing reliability in IoV systems,thereby improving overall network performance. 展开更多
关键词 Route discovery Software defined networking(SDN) Link failure Intra-zone communications Inter-zone communications Theta*
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Research status and prospect of avionics system technology for spacecraft 认领 引用
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作者 Chaoji CHEN Yaobao YIN +1 位作者 Kewu HUANG Xiongwen HE 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期446-470,共25页
The existing studies on spacecraft focus on improving the networked,intelligent,and autonomous level of avionics systems.This paper reviews the research status of spacecraft avionics system architecture and typical sp... The existing studies on spacecraft focus on improving the networked,intelligent,and autonomous level of avionics systems.This paper reviews the research status of spacecraft avionics system architecture and typical spacecraft avionics system,as well as the technical features and potential trends of key technologies,such as network interconnection,high-speed bus,onboard computing,autonomous operation,and software-defined technology.A development roadmap,a novel kind of intelligent system architecture and application scenarios of avionics systems are then proposed.To tackle the challenges faced in the development of spacecraft avionics systems,suggestions are made from the aspects of system architecture,heterogeneous network interconnection,on-orbit intelligent information processing,Commercial Off-The-Shelf(COTS)products application,and intelligent autonomous management.This provides a guide for the related studies on the development of spacecraft avionics technology. 展开更多
关键词 Autonomous operation Development roadmap High-speed bus Network interconnection Onboard computing Software defined networking Spacecraft avionics System architecture
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A Dormant Multi-Controller Model for Software Defined Networking 认领 引用 被引量：11
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作者 FU Yonghong BI Jun +3 位作者 WU Jianping CHEN Ze WANG Ke LUO Min 《China Communications》 SCIE CSCD 2014年第3期45-55,共11页
In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over.I... In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over.In this paper,we develop a flexible dormant multi-controller model based on the centralized multi-controller architecture.The dormant multi-controller model allows part of controllers to enter the dormant state under light traffic condition for saving system cost.Meanwhile,through queueing analysis,various performance measures of the system can be obtained.Moreover,we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system characteristics.Finally,a total expected cost function is established,and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making. 展开更多
关键词 Software Defined Networking multi-controller queueing theory performanceevaluation
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Contrastive Analysis of Software Networks Based on Different Coupling Relationships 认领 引用 被引量：4
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作者 XU Guoai GAO Yang +2 位作者 QI Yana PENG Junhao TANG Xianjing 《China Communications》 SCIE 2010年第4期76-82,共7页
Several software network models are constructed based on the relationships between classes in the object-oriented software systems.Then,a variety of well-known open source software applications are statistically analy... Several software network models are constructed based on the relationships between classes in the object-oriented software systems.Then,a variety of well-known open source software applications are statistically analyzed by using these models.The results show that: (1) Dependency network does play a key role in software architecture;(2) The exponents of in-degree and total-degree distribution functions of different networks differ slightly,while the exponent of out-degree varies obviously;(3) Weak-coupling relationships have greater impact on software architecture than strong-coupling relationships.Finally,a theoretically analysis on these statistical phenomena is proposed from the perspectives of software develop technology,develop process and developer’s habits,respectively. 展开更多
关键词 Software System Software Networks Coupling Relationship Degree Distribution
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The Impact of Delay in Software-Defined Integrated Terrestrial-Satellite Networks 认领 引用 被引量：6
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作者 Luca Boero Mario Marchese Fabio Patrone 《China Communications》 SCIE CSCD 2018年第8期11-21,共11页
Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-gene... Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-generation(5 G) standardization committees are considering satellites as a technology to integrate in the 5 G environment. Software Defined Networking(SDN) is one of the paradigms of the next generation of mobile and fixed communications. It can be employed to perform different control functionalities, such as routing, because it allows traffic flow identification based on different parameters and traffic flow management in a centralized way. A centralized set of controllers makes the decisions and sends the corresponding forwarding rules for each traffic flow to the involved intermediate nodes that practically forward data up to the destination. The time to perform this process in integrated terrestrial-satellite networks could be not negligible due to satellite link delays. The aim of this paper is to introduce an SDN-based terrestrial satellite network architecture and to estimate the mean time to deliver the data of a new traffic flow from the source to the destination including the time required to transfer SDN control actions. The practical effect is to identify the maximum performance than can be expected. 展开更多
关键词 Integrated terrestrial-satellite net-works software defined networking software defined satellite networks delay estimation
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SDN assisted Stackelberg Game model for LTE-WiFi offloading in 5G networks 认领 引用 被引量：4
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作者 Sudha Anbalagan Dhananjay Kumar +1 位作者 Gunasekaran Raja Alkondan Balaji 《Digital Communications and Networks》 SCIE 2019年第4期268-275,共8页
The data traffic that is accumulated at the Macro Base Station(MBS)keeps on increasing as almost all the people start using mobile phones.The MBS cannot accommodate all user’s demands,and attempts to offload some use... The data traffic that is accumulated at the Macro Base Station(MBS)keeps on increasing as almost all the people start using mobile phones.The MBS cannot accommodate all user’s demands,and attempts to offload some users to the nearby small cells so that the user could get the expected service.For the MBS to offload data traffic to an Access Point(AP),it should offer an optimal economic incentive in a way its utility is maximized.Similarly,the APs should choose an optimal traffic to admit load for the price that it gets from MBS.To balance this tradeoff between the economic incentive and the admittance load to achieve optimal offloading,Software Defined Networking(SDN)assisted Stackelberg Game(SaSG)model is proposed.In this model,the MBS selects the users carefully to aggregate the service with AP,so that the user experiencing least service gets aggregated first.The MBS uses the Received Signal Strength Indicator(RSSI)value of the users as the main parameter for aggregating a particular user for a contract period with LTE and WiFi.Each player involved in the game tries to maximize their payoff utilities,and thus,while incorporating those utilities in real-time scenario,we obtain maximum throughput per user which experiences best data service without any lack in Quality of Experience(QoE).Thus,the proposed SaSG model proves better when compared with other game theory models,and hence an optimal data offloading is achieved. 展开更多
关键词 LTE WiFi Aggregation Software Defined Networking Stackelberg Game
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Programmable Adaptive Security Scanning for Networked Microgrids 认领 引用 被引量：5
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作者 Zimin Jiang Zefan Tang +1 位作者 Peng Zhang Yanyuan Qin 《Engineering》 SCIE EI CAS CSCD 2021年第8期1087-1100,共14页
Communication-dependent and software-based distributed energy resources(DERs)are extensively integrated into modern microgrids,providing extensive benefits such as increased distributed controllability,scalability,and... Communication-dependent and software-based distributed energy resources(DERs)are extensively integrated into modern microgrids,providing extensive benefits such as increased distributed controllability,scalability,and observability.However,malicious cyber-attackers can exploit various potential vulnerabilities.In this study,a programmable adaptive security scanning(PASS)approach is presented to protect DER inverters against various power-bot attacks.Specifically,three different types of attacks,namely controller manipulation,replay,and injection attacks,are considered.This approach employs both software-defined networking technique and a novel coordinated detection method capable of enabling programmable and scalable networked microgrids(NMs)in an ultra-resilient,time-saving,and autonomous manner.The coordinated detection method efficiently identifies the location and type of power-bot attacks without disrupting normal NM operations.Extensive simulation results validate the efficacy and practicality of the PASS for securing NMs. 展开更多
关键词 Networked microgrids Programmable adaptive security scanning Coordinated detection Software defined networking
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Autonomic QoS Management Mechanism in Software Defined Network 认领 引用 被引量：4
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作者 WANG Wendong QI Qinglei +2 位作者 GONG Xiangyan HU Yannan QUE Xirong 《China Communications》 SCIE CSCD 2014年第7期13-23,共11页
With the increase of network complexity,the flexibility of network control and management becomes a nontrivial problem.Both Software Defined Network(SDN)and Autonomic Network technologies are sophisticated technologie... With the increase of network complexity,the flexibility of network control and management becomes a nontrivial problem.Both Software Defined Network(SDN)and Autonomic Network technologies are sophisticated technologies for the network control and management.These two technologies could be combined together to construct a software defined self-managing solution for the future network.An autonomic QoS management mechanism in Software Defined Network(AQSDN)is proposed in this paper.In AQSDN,the various QoS features can be configured autonomically in an OpenFlow switch through extending the OpenFlow and OF-Config protocols.Based on AQSDN,a novel packet context-aware QoS model(PCaQoS)is also introduced for improving the network QoS.PCaQoS takes packet context into account when packet is marked and managed into forwarding queues.The implementation of a video application's prototype which evaluates the self-configuration feature of the AQSDN and the enhancement ability of the PCaQoS is presented in order to validate this design. 展开更多
关键词 software defined network autonomic management context aware quality of service(QoS)
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A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment 认领 引用 被引量：7
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作者 Ying Duan Wenfeng Li +2 位作者 Xiuwen Fu Yun Luo Lin Yang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第1期74-82,共9页
As communication technology and smart manufacturing have developed, the industrial internet of things(IIo T)has gained considerable attention from academia and industry.Wireless sensor networks(WSNs) have many advanta... As communication technology and smart manufacturing have developed, the industrial internet of things(IIo T)has gained considerable attention from academia and industry.Wireless sensor networks(WSNs) have many advantages with broad applications in many areas including environmental monitoring, which makes it a very important part of IIo T. However,energy depletion and hardware malfunctions can lead to node failures in WSNs. The industrial environment can also impact the wireless channel transmission, leading to network reliability problems, even with tightly coupled control and data planes in traditional networks, which obviously also enhances network management cost and complexity. In this paper, we introduce a new software defined network(SDN), and modify this network to propose a framework called the improved software defined wireless sensor network(improved SD-WSN). This proposed framework can address the following issues. 1) For a large scale heterogeneous network, it solves the problem of network management and smooth merging of a WSN into IIo T. 2) The network coverage problem is solved which improves the network reliability. 3) The framework addresses node failure due to various problems, particularly related to energy consumption.Therefore, it is necessary to improve the reliability of wireless sensor networks, by developing certain schemes to reduce energy consumption and the delay time of network nodes under IIo T conditions. Experiments have shown that the improved approach significantly reduces the energy consumption of nodes and the delay time, thus improving the reliability of WSN. 展开更多
关键词 Industrial internet of things(IIo T) reliability software defined network(SDN) wireless sensor network(WSN)
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Software defined satellite networks:A survey 认领 引用 被引量：15
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作者 Weiwei Jiang 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1243-1264,共22页
In recent years,satellite networks have been proposed as an essential part of next-generation mobile communication systems.Software defined networking techniques are introduced in satellite networks to handle the grow... In recent years,satellite networks have been proposed as an essential part of next-generation mobile communication systems.Software defined networking techniques are introduced in satellite networks to handle the growing challenges induced by time-varying topology,intermittent inter-satellite link and dramatically increased satellite constellation size.This survey covers the latest progress of software defined satellite networks,including key techniques,existing solutions,challenges,opportunities,and simulation tools.To the best of our knowledge,this paper is the most comprehensive survey that covers the latest progress of software defined satellite networks.An open GitHub repository is further created where the latest papers on this topic will be tracked and updated periodically.Compared with these existing surveys,this survey contributes from three aspects:(1)an up-to-date SDN-oriented review for the latest progress of key techniques and solutions in software defined satellite networks;(2)an inspiring summary of existing challenges,new research opportunities and publicly available simulation tools for follow-up studies;(3)an effort of building a public repository to track new results. 展开更多
关键词 Mobility management Satellite network SDN controller placement Software defined networking Virtual network embedding
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Dynamic Threshold-Based Approach to Detect Low-Rate DDoS Attacks on Software-Defined Networking Controller 认领 引用 被引量：1
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作者 Mohammad Adnan Aladaileh Mohammed Anbar +2 位作者 Iznan H.Hasbullah Abdullah Ahmed Bahashwan Shadi Al-Sarawn 《Computers, Materials & Continua》 SCIE EI 2022年第10期1403-1416,共14页
The emergence of a new network architecture,known as Software Defined Networking(SDN),in the last two decades has overcome some drawbacks of traditional networks in terms of performance,scalability,reliability,securit... The emergence of a new network architecture,known as Software Defined Networking(SDN),in the last two decades has overcome some drawbacks of traditional networks in terms of performance,scalability,reliability,security,and network management.However,the SDN is vulnerable to security threats that target its controller,such as low-rate Distributed Denial of Service(DDoS)attacks,The low-rate DDoS attack is one of the most prevalent attacks that poses a severe threat to SDN network security because the controller is a vital architecture component.Therefore,there is an urgent need to propose a detection approach for this type of attack with a high detection rate and low false-positive rates.Thus,this paper proposes an approach to detect low-rate DDoS attacks on the SDN controller by adapting a dynamic threshold.The proposed approach has been evaluated using four simulation scenarios covering a combination of low-rate DDoS attacks against the SDN controller involving(i)a single host attack targeting a single victim;(ii)a single host attack targeting multiple victims;(iii)multiple hosts attack targeting a single victim;and(iv)multiple hosts attack targeting multiple victims.The proposed approach’s average detection rates are 96.65%,91.83%,96.17%,and 95.33%for the above scenarios,respectively;and its average false-positive rates are 3.33%,8.17%,3.83%,and 4.67%for similar scenarios,respectively.The comparison between the proposed approach and two existing approaches showed that it outperformed them in both categories. 展开更多
关键词 Attack detection controller dynamic threshold entropy algorithm distributed denial of service software defined networking static threshold
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GPP Based Open Cellular Network Towards 5G 认领 引用 被引量：2
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作者 Jiang Wang Jing Xu +1 位作者 Yang Yang Haidong Xu 《China Communications》 SCIE CSCD 2017年第6期189-198,共10页
Due to 5G's stringent and uncertainty traffic requirements,open ecosystem would be one inevitable way to develop 5G.On the other hand,GPP based mobile communication becomes appealing recently attributed to its str... Due to 5G's stringent and uncertainty traffic requirements,open ecosystem would be one inevitable way to develop 5G.On the other hand,GPP based mobile communication becomes appealing recently attributed to its striking advantage in flexibility and re-configurability.In this paper,both the advantages and challenges of GPP platform are detailed analyzed.Furthermore,both GPP based software and hardware architectures for open 5G are presented and the performances of real-time signal processing and power consumption are also evaluated.The evaluation results indicate that turbo and power consumption may be another challengeable problem should be further solved to meet the requirements of realistic deployments. 展开更多
关键词 open 5G general purpose processor （GPP） real-time signal processing software defined network （SDN） network function virtualization （NFV）
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Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques 认领 引用 被引量：2
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作者 Nasser Alshammari Shumaila Shahzadi +7 位作者 Saad Awadh Alanazi Shahid Naseem Muhammad Anwar Madallah Alruwaili Muhammad Rizwan Abid Omar Alruwaili Ahmed Alsayat Fahad Ahmad 《Computer Systems Science & Engineering》 2024年第2期363-394,共32页
Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified ne... Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment. 展开更多
关键词 Software defined network network function virtualization network function virtualization management and orchestration virtual infrastructure manager virtual network function Kubernetes Kubectl artificial intelligence machine learning
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