In this paper,the fixed-time time-varying formation of heterogeneous multi-agent systems(MASs) based on tracking error observer under denial-of-service(DoS) attacks is investigated.Firstly,the dynamic pinning strategy...In this paper,the fixed-time time-varying formation of heterogeneous multi-agent systems(MASs) based on tracking error observer under denial-of-service(DoS) attacks is investigated.Firstly,the dynamic pinning strategy is used to reconstruct the communication channel for the system that suffers from DoS attacks to prevent the discontinuous transmission information of the communication network from affecting MASs formation.Then,considering that the leader state is not available to each follower under DoS attacks,a fixed-time distributed observer without velocity information is constructed to estimate the tracking error between followers and the leader.Finally,adaptive radial basis function neural network(RBFNN) is used to approximate the unknown ensemble disturbances in the system,and the fixed-time time-varying formation scheme is designed with the constructed observer.The effectiveness of the proposed control algorithm is demonstrated by the numerical simulation.展开更多
随着大量分布式能源的并网,能源互联网面临严重的网络攻击威胁。攻击者可利用通信层的漏洞,集成庞大的分布式僵尸网络。现有的网络攻击手段难以适配具有随机空间分布特性的僵尸网络,并且多侧重攻击的破坏性而忽视了对攻击隐蔽性的研究...随着大量分布式能源的并网,能源互联网面临严重的网络攻击威胁。攻击者可利用通信层的漏洞,集成庞大的分布式僵尸网络。现有的网络攻击手段难以适配具有随机空间分布特性的僵尸网络,并且多侧重攻击的破坏性而忽视了对攻击隐蔽性的研究。该文提出了从分布式僵尸网络实现对综合能源系统经济效益破坏的新型攻击方法。首先,建立基于僵尸节点的重要对象拒绝服务(denial of service,DoS)攻击模型,通过信息收集判断邻域中重要程度最高的节点,并推导出在有限攻击资源下影响DoS攻击效果的显式因素。其次,提出僵尸节点间的共谋虚假数据注入(false data injection,FDI)攻击策略,并分析不同的FDI攻击实现形式,旨在寻找对能源系统经济性最具破坏性的攻击模式。考虑典型的恶意节点检测机制,制定了僵尸节点自调节过程,使得攻击的实现对防御措施具有鲁棒性。最后,通过IEEE39-32节点的热电耦合系统拓扑仿真验证了所提攻击策略的有效性。展开更多
文摘In this paper,the fixed-time time-varying formation of heterogeneous multi-agent systems(MASs) based on tracking error observer under denial-of-service(DoS) attacks is investigated.Firstly,the dynamic pinning strategy is used to reconstruct the communication channel for the system that suffers from DoS attacks to prevent the discontinuous transmission information of the communication network from affecting MASs formation.Then,considering that the leader state is not available to each follower under DoS attacks,a fixed-time distributed observer without velocity information is constructed to estimate the tracking error between followers and the leader.Finally,adaptive radial basis function neural network(RBFNN) is used to approximate the unknown ensemble disturbances in the system,and the fixed-time time-varying formation scheme is designed with the constructed observer.The effectiveness of the proposed control algorithm is demonstrated by the numerical simulation.
文摘随着大量分布式能源的并网,能源互联网面临严重的网络攻击威胁。攻击者可利用通信层的漏洞,集成庞大的分布式僵尸网络。现有的网络攻击手段难以适配具有随机空间分布特性的僵尸网络,并且多侧重攻击的破坏性而忽视了对攻击隐蔽性的研究。该文提出了从分布式僵尸网络实现对综合能源系统经济效益破坏的新型攻击方法。首先,建立基于僵尸节点的重要对象拒绝服务(denial of service,DoS)攻击模型,通过信息收集判断邻域中重要程度最高的节点,并推导出在有限攻击资源下影响DoS攻击效果的显式因素。其次,提出僵尸节点间的共谋虚假数据注入(false data injection,FDI)攻击策略,并分析不同的FDI攻击实现形式,旨在寻找对能源系统经济性最具破坏性的攻击模式。考虑典型的恶意节点检测机制,制定了僵尸节点自调节过程,使得攻击的实现对防御措施具有鲁棒性。最后,通过IEEE39-32节点的热电耦合系统拓扑仿真验证了所提攻击策略的有效性。
