检索结果-南通市图书馆

Securing Forwarding Layers from Eavesdropping Attacks Using Proactive Approaches

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第4期79卷 563-580页

作者： Jiajun Yan Ying Zhou Anchen Dai Tao Wang school of Electronics and Communication engineering Sun Yat-sen UniversityShenzhen518107China

As an emerging network paradigm,the software-defined network(SDN)finds extensive application in areas such as smart grids,the internet of things(IoT),and edge *** forwarding layer in software-defined networks is susceptible to eavesdropping *** hopping is amoving target defense(MTD)technology that is frequently employed to resist eavesdropping *** the traditional route hopping technology,both request and reply packets use the same hopping *** an eavesdropping attacker monitors the nodes along this path,the risk of 100%data leakage becomes *** this paper,we present an effective route hopping approach,called two-day different path(TDP),that turns communication paths into untraceable moving *** technology minimizes the probability of data leakage by transmitting request data and reply data through different ***,a brief introduction to the network model and attack model involved in this paper is ***,the algorithm and processingmethod of the TDP are ***,the paper proposes three differentmetrics tomeasure the effectiveness of the proposed ***,theoretical analysis and simulation results show that the TDP can effectively reduce the percentage of data exposure,decrease eavesdropping attack success probability,and improve the unpredictability of the path.

关键词： Route hopping moving target defense software-defined network two-way different path metrics

Data Secure Storage Mechanism for IIoT Based on Blockchain

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第3期78卷 4029-4048页

作者： Jin Wang Guoshu Huang R.Simon Sherratt Ding Huang Jia Ni school of Computer Science and Mathematics Fujian University of TechnologyFuzhou350118China school of Computer&Communication engineering Changsha University of Science&TechnologyChangsha410004China school of Systems engineering The University of ReadingReadingRG66AYUK school of Computer Nanjing University of Information Science and TechnologyNanjing210044China

With the development of Industry 4.0 and big data technology,the Industrial internet of things(IIoT)is hampered by inherent issues such as privacy,security,and fault tolerance,which pose certain challenges to the rapid development of *** technology has immutability,decentralization,and autonomy,which can greatly improve the inherent defects of the *** the traditional blockchain,data is stored in a Merkle *** data continues to grow,the scale of proofs used to validate it grows,threatening the efficiency,security,and reliability of blockchain-based ***,this paper first analyzes the inefficiency of the traditional blockchain structure in verifying the integrity and correctness of *** solve this problem,a new Vector Commitment(VC)structure,Partition Vector Commitment(PVC),is proposed by improving the traditional VC ***,this paper uses PVC instead of the Merkle tree to store big data generated by *** can improve the efficiency of traditional VC in the process of commitment and ***,this paper uses PVC to build a blockchain-based IIoT data security storage mechanism and carries out a comparative analysis of *** mechanism can greatly reduce communication loss and maximize the rational use of storage space,which is of great significance for maintaining the security and stability of blockchain-based IIoT.

关键词： Blockchain IIoT data storage cryptographic commitment

Relay-Switching-Based Fixed-Time Tracking Controller for Nonholonomic State-Constrained Systems:Design and Experiment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1778-1780页

作者： Zhongcai Zhang Jinshan Bian Kang Wu the school of engineering Qufu Normal UniversityRizhao 276826China the school of internet of things engineering Jiangnan UniversityWuxi 214122China

Dear Editor,This letter investigates the fixed-time trajectory tracking controller design for nonholonomic chained systems with static state ***,a fixed-time tracking control law is given to carry out relay switching,... 详细信息

关键词： Fixed letter nonholonomic

Power-Domain Collision-Tolerant Random Access Method with Auxiliary Beam for Satellite internet of things:A New Solution

在线全文

学校读者我要写书评

暂无评论

China Communications 2024年第8期21卷 236-248页

作者： Xu Yuanyuan Liu Ziwei Bian Dongming Zhang Gengxin school of Communications and Information engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Institute of Communications engineering PLA University of Science and TechnologyNanjing 210007China

There are numerous terminals in the satellite internet of things(IoT).To save cost and reduce power consumption,the system needs terminals to catch the characteristics of low power consumption and light *** regular random access(RA)protocols may generate large amounts of collisions,which degrade the system throughout *** near-far effect and power control technologies are not applicable in capture effect to obtain power difference,resulting in the collisions that cannot be *** fact,the optimal design at the receiving end can also realize the condition of packet power domain separation,but there are few relevant *** this paper,an auxiliary beamforming scheme is proposed for power domain signal *** adds an auxiliary reception beam based on the conventional beam,utilizing the correlation of packets in time-frequency domain between the main and auxiliary beam to complete signal *** roll-off belt of auxiliary beam is used to create the carrier-to-noise ratio(CNR)*** paper uses the genetic algorithm to optimize the auxiliary beam *** results show that the proposed scheme outperforms slotted ALOHA(SA)in terms of system throughput per-formance and without bringing terminals additional control burden.

关键词： beamforming non-orthogonal multiple access random access satellite internet of things

MAIPFE:An Efficient Multimodal Approach Integrating Pre-Emptive Analysis,Personalized Feature Selection,and Explainable AI

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第5期79卷 2229-2251页

作者： Moshe Dayan Sirapangi S.Gopikrishnan school of Computer Science and engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

Medical internet of things(IoT)devices are becoming more and more common in *** has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized *** methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT *** is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease *** using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be *** Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature Selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing *** metrics show the model’s superiority in real-time health *** proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay *** prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable *** research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.

关键词： Predictive health modeling Medical internet of things explainable artificial intelligence personalized feature selection preemptive analysis

Correlation Composition Awareness Model with Pair Collaborative Localization for IoT Authentication and Localization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第4期79卷 943-961页

作者： Kranthi Alluri S.Gopikrishnan school of Computer Science and engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

Secure authentication and accurate localization among internet of things(IoT)sensors are pivotal for the functionality and integrity of IoT *** authentication and localization are intricate and symbiotic,impacting both the security and operational functionality of IoT ***,accurate localization and lightweight authentication on resource-constrained IoT devices pose several *** overcome these challenges,recent approaches have used encryption techniques with well-known key ***,these methods are inefficient due to the increasing number of data breaches in their localization *** proposed research efficiently integrates authentication and localization processes in such a way that they complement each other without compromising on security or *** proposed framework aims to detect active attacks within IoT networks,precisely localize malicious IoT devices participating in these attacks,and establish dynamic implicit authentication *** integrated framework proposes a Correlation Composition Awareness(CCA)model,which explores innovative approaches to device correlations,enhancing the accuracy of attack detection and ***,this framework introduces the Pair Collaborative Localization(PCL)technique,facilitating precise identification of the exact locations of malicious IoT *** address device authentication,a Behavior and Performance Measurement(BPM)scheme is developed,ensuring that only trusted devices gain access to the *** work has been evaluated across various environments and compared against existing *** results prove that the proposed methodology attains 96%attack detection accuracy,84%localization accuracy,and 98%device authentication accuracy.

关键词： Sensor localization IoT authentication network security data accuracy precise location access control security framework

Joint Optimization of Energy Consumption and Network Latency in Blockchain-Enabled Fog Computing Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Communications 2024年第4期21卷 104-119页

作者： Huang Xiaoge Yin Hongbo Cao Bin Wang Yongsheng Chen Qianbin Zhang Jie school of Communications and Information engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China school of Communication and Information engineering University of SheffieldUnited Kingdom

Fog computing is considered as a solution to accommodate the emergence of booming requirements from a large variety of resource-limited internet of things(IoT)*** ensure the security of private data,in this paper,we introduce a blockchain-enabled three-layer device-fog-cloud heterogeneous network.A reputation model is proposed to update the credibility of the fog nodes(FN),which is used to select blockchain nodes(BN)from FNs to participate in the consensus *** to the Rivest-Shamir-Adleman(RSA)encryption algorithm applied to the blockchain system,FNs could verify the identity of the node through its public key to avoid malicious ***,to reduce the computation complexity of the consensus algorithms and the network overhead,we propose a dynamic offloading and resource allocation(DORA)algorithm and a reputation-based democratic byzantine fault tolerant(R-DBFT)algorithm to optimize the offloading decisions and decrease the number of BNs in the consensus algorithm while ensuring the network *** results demonstrate that the proposed algorithm could efficiently reduce the network overhead,and obtain a considerable performance improvement compared to the related algorithms in the previous literature.

关键词： blockchain energy consumption fog computing network internet of things latency

Dynamic Hypergraph Modeling and Robustness Analysis for SIoT

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in engineering & Sciences 2024年第9期140卷 3017-3034页

作者： Yue Wan Nan Jiang Ziyu Liu school of Information engineering East China Jiaotong UniversityNanchang330013China

The Social internet of things(SIoT)integrates the internet of things(IoT)and social networks,taking into account the social attributes of objects and diversifying the relationship between humans and objects,which overcomes the limitations of the IoT’s focus on associations between *** Intelligence(AI)technology is rapidly *** is critical to build trustworthy and transparent systems,especially with system security issues coming to the *** paper emphasizes the social attributes of objects and uses hypergraphs to model the diverse entities and relationships in SIoT,aiming to build an SIoT hypergraph generation model to explore the complex interactions between entities in the context of intelligent *** hypergraph generation models impose too many constraints and fail to capture more details of real *** contrast,this paper proposes a hypergraph generation model that evolves dynamically over time,where only the number of nodes is *** combines node wandering with a forest fire model and uses two different methods to control the size of the *** new nodes are added,the model can promptly reflect changes in entities and relationships within *** results exhibit that our model can effectively replicate the topological structure of real-world *** also evaluate the vulnerability of the hypergraph under different attack strategies,which provides theoretical support for building a more robust intelligent SIoT hypergraph model and lays the foundation for building safer and more reliable systems in the future.

关键词： Large-scale artificial intelligence Social internet of things hypernetwork robustness analysis

Research on the Optimal Aggregation Method of Judgment Matrices Based on Spatial Steiner-Weber Point

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2023年第3期36卷 1228-1249页

作者： LIU Wei WANG Yuhong LI Lei school of internet of things engineering Jiangnan UniversityWuxi 214122China school of Management Henan University of TechnologyZhengzhou 450001China school of Business Jiangnan UniversityWuxi 214122China

This paper is to provide a novel approach for the spatial aggregation of judgment *** optimal aggregation method of judgment matrices based on spatial Steiner-Weber point can effectively aggregate the preference information of group members and achieve the optimization of group *** method comprises three key elements:The spatial mapping of the judgment matrices,the spatial optimal aggregation model of the judgment matrices,and the plant growth simulation algorithm(PGSA)is used to find the optimal aggregation ***,the judgment matrices are mapped into a set of spatial multidimensional coordinates by using spatial mapping ***,the spatial Steiner-Weber point is used as the prototype to construct the spatial aggregation ***,the PGSA algorithm is used to find the spatial aggregation points,whose spatial weighted Euclidean distance to all the decision makers’preference points is *** optimal aggregation matrix is composed of these optimal aggregation points,which can accurately reflect the decision maker's comprehensive ***,the effectiveness and rationality of this method are verified by comparing with the classical group preference aggregation methods.

关键词： Aggregation method group decision making judgment matrices PGSA spatial aggregation model steiner-weber point