{"title":"一种基于pso的运动目标防御控制优化方案","authors":"T. Tamba","doi":"10.23919/SICEISCS51787.2021.9495323","DOIUrl":null,"url":null,"abstract":"This paper proposes the use of a moving target defense (MTD) control scheme to detect and mitigate cyber attacks from malicious adversaries on cyber-physical systems. To ensure the optimal performance of such a MTD control scheme, an optimizer for tuning the controller is developed based on particle swarm optimization (PSO) scheme. Simulation results are presented to illustrate the effectiveness of the proposed PSO-based MTD control optimization scheme.","PeriodicalId":395250,"journal":{"name":"2021 SICE International Symposium on Control Systems (SICE ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A PSO-Based Moving Target Defense Control Optimization Scheme\",\"authors\":\"T. Tamba\",\"doi\":\"10.23919/SICEISCS51787.2021.9495323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the use of a moving target defense (MTD) control scheme to detect and mitigate cyber attacks from malicious adversaries on cyber-physical systems. To ensure the optimal performance of such a MTD control scheme, an optimizer for tuning the controller is developed based on particle swarm optimization (PSO) scheme. Simulation results are presented to illustrate the effectiveness of the proposed PSO-based MTD control optimization scheme.\",\"PeriodicalId\":395250,\"journal\":{\"name\":\"2021 SICE International Symposium on Control Systems (SICE ISCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 SICE International Symposium on Control Systems (SICE ISCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SICEISCS51787.2021.9495323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 SICE International Symposium on Control Systems (SICE ISCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SICEISCS51787.2021.9495323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A PSO-Based Moving Target Defense Control Optimization Scheme
This paper proposes the use of a moving target defense (MTD) control scheme to detect and mitigate cyber attacks from malicious adversaries on cyber-physical systems. To ensure the optimal performance of such a MTD control scheme, an optimizer for tuning the controller is developed based on particle swarm optimization (PSO) scheme. Simulation results are presented to illustrate the effectiveness of the proposed PSO-based MTD control optimization scheme.