{"title":"通过自适应和可激活网络层抵御拒绝服务攻击的弹性多代理系统","authors":"Deepalakshmi Babu Venkateswaran;Zhihua Qu","doi":"10.1109/OJCSYS.2024.3477091","DOIUrl":null,"url":null,"abstract":"This paper tackles the challenge of maintaining resilience in multi-agent systems under Denial of Service (DoS) attacks by proposing a robust architecture that includes an instantaneous detection algorithm for connectivity losses and a dynamic system to activate backup network layers when disruptions occur. We also introduce a simplified approach that reduces the number of required layers through an adaptive repair algorithm. The simulation section, divided into two parts, demonstrates the effectiveness of the algorithm: one part showcases its scalability in a large-scale system, and the other applies it to a real-world power system using the IEEE 123-node system. Both simulations confirm that the proposed approach significantly enhances system stability and performance under attack conditions.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"3 ","pages":"472-482"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10710321","citationCount":"0","resultStr":"{\"title\":\"Resilient Multi-Agent Systems Against Denial of Service Attacks via Adaptive and Activatable Network Layers\",\"authors\":\"Deepalakshmi Babu Venkateswaran;Zhihua Qu\",\"doi\":\"10.1109/OJCSYS.2024.3477091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper tackles the challenge of maintaining resilience in multi-agent systems under Denial of Service (DoS) attacks by proposing a robust architecture that includes an instantaneous detection algorithm for connectivity losses and a dynamic system to activate backup network layers when disruptions occur. We also introduce a simplified approach that reduces the number of required layers through an adaptive repair algorithm. The simulation section, divided into two parts, demonstrates the effectiveness of the algorithm: one part showcases its scalability in a large-scale system, and the other applies it to a real-world power system using the IEEE 123-node system. Both simulations confirm that the proposed approach significantly enhances system stability and performance under attack conditions.\",\"PeriodicalId\":73299,\"journal\":{\"name\":\"IEEE open journal of control systems\",\"volume\":\"3 \",\"pages\":\"472-482\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10710321\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE open journal of control systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10710321/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE open journal of control systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10710321/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resilient Multi-Agent Systems Against Denial of Service Attacks via Adaptive and Activatable Network Layers
This paper tackles the challenge of maintaining resilience in multi-agent systems under Denial of Service (DoS) attacks by proposing a robust architecture that includes an instantaneous detection algorithm for connectivity losses and a dynamic system to activate backup network layers when disruptions occur. We also introduce a simplified approach that reduces the number of required layers through an adaptive repair algorithm. The simulation section, divided into two parts, demonstrates the effectiveness of the algorithm: one part showcases its scalability in a large-scale system, and the other applies it to a real-world power system using the IEEE 123-node system. Both simulations confirm that the proposed approach significantly enhances system stability and performance under attack conditions.