Imran Sajjad, D. D. Dunn, Rajnikant Sharma, Ryan M. Gerdes
{"title":"基于检测的滑模控制对抗队列攻击缓解","authors":"Imran Sajjad, D. D. Dunn, Rajnikant Sharma, Ryan M. Gerdes","doi":"10.1145/2808705.2808713","DOIUrl":null,"url":null,"abstract":"In this paper, we consider a mitigation strategy to prevent a vehicle controlled by an attacker from causing collisions in a vehicular platoon. An adversarial-aware control scheme, based on sliding mode control using only local sensor information and a decentralized attack detector, is shown to significantly reduce the number and severity of collisions, without the need for inter-vehicle or vehicle-to-infrastructure communication. Simulations demonstrate that collisions are eliminated (or significantly reduced) when the attacker and normal vehicles have same capabilities, and collisions are reduced even with more powerful attackers.","PeriodicalId":144851,"journal":{"name":"Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Attack Mitigation in Adversarial Platooning Using Detection-Based Sliding Mode Control\",\"authors\":\"Imran Sajjad, D. D. Dunn, Rajnikant Sharma, Ryan M. Gerdes\",\"doi\":\"10.1145/2808705.2808713\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider a mitigation strategy to prevent a vehicle controlled by an attacker from causing collisions in a vehicular platoon. An adversarial-aware control scheme, based on sliding mode control using only local sensor information and a decentralized attack detector, is shown to significantly reduce the number and severity of collisions, without the need for inter-vehicle or vehicle-to-infrastructure communication. Simulations demonstrate that collisions are eliminated (or significantly reduced) when the attacker and normal vehicles have same capabilities, and collisions are reduced even with more powerful attackers.\",\"PeriodicalId\":144851,\"journal\":{\"name\":\"Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2808705.2808713\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2808705.2808713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Attack Mitigation in Adversarial Platooning Using Detection-Based Sliding Mode Control
In this paper, we consider a mitigation strategy to prevent a vehicle controlled by an attacker from causing collisions in a vehicular platoon. An adversarial-aware control scheme, based on sliding mode control using only local sensor information and a decentralized attack detector, is shown to significantly reduce the number and severity of collisions, without the need for inter-vehicle or vehicle-to-infrastructure communication. Simulations demonstrate that collisions are eliminated (or significantly reduced) when the attacker and normal vehicles have same capabilities, and collisions are reduced even with more powerful attackers.