Stefan Gvozdenovic, Johannes K. Becker, John Mikulskis, D. Starobinski
{"title":"在序言之后截断:物联网网络上基于物理的饥饿攻击","authors":"Stefan Gvozdenovic, Johannes K. Becker, John Mikulskis, D. Starobinski","doi":"10.1145/3395351.3399356","DOIUrl":null,"url":null,"abstract":"We present and evaluate Truncate-after-Preamble (TaP) attacks, whereby a receiver cannot decode an incoming signal despite good channel conditions. In a TaP attack, the attacker announces a large payload length using a standard preamble and packet length field, but omits to transmit the payload. We implement the TaP attack on a SDR platform, and evaluate the effectiveness of the attack on five Zigbee and seven Wi-Fi devices sold by different manufacturers. We show that all of the Zigbee devices are vulnerable to the attack, while the Wi-Fi devices are vulnerable to the attack to varying degrees. Chiefly, we show that an attacker can cause over 90% packet loss on a Zigbee or Wi-Fi channel, using respectively six or five orders of magnitude less energy than a constant jammer would. Finally, we present several methods, with different degrees of sophistication, for detecting the attacks.","PeriodicalId":165929,"journal":{"name":"Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Truncate after preamble: PHY-based starvation attacks on IoT networks\",\"authors\":\"Stefan Gvozdenovic, Johannes K. Becker, John Mikulskis, D. Starobinski\",\"doi\":\"10.1145/3395351.3399356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present and evaluate Truncate-after-Preamble (TaP) attacks, whereby a receiver cannot decode an incoming signal despite good channel conditions. In a TaP attack, the attacker announces a large payload length using a standard preamble and packet length field, but omits to transmit the payload. We implement the TaP attack on a SDR platform, and evaluate the effectiveness of the attack on five Zigbee and seven Wi-Fi devices sold by different manufacturers. We show that all of the Zigbee devices are vulnerable to the attack, while the Wi-Fi devices are vulnerable to the attack to varying degrees. Chiefly, we show that an attacker can cause over 90% packet loss on a Zigbee or Wi-Fi channel, using respectively six or five orders of magnitude less energy than a constant jammer would. Finally, we present several methods, with different degrees of sophistication, for detecting the attacks.\",\"PeriodicalId\":165929,\"journal\":{\"name\":\"Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3395351.3399356\",\"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 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3395351.3399356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Truncate after preamble: PHY-based starvation attacks on IoT networks
We present and evaluate Truncate-after-Preamble (TaP) attacks, whereby a receiver cannot decode an incoming signal despite good channel conditions. In a TaP attack, the attacker announces a large payload length using a standard preamble and packet length field, but omits to transmit the payload. We implement the TaP attack on a SDR platform, and evaluate the effectiveness of the attack on five Zigbee and seven Wi-Fi devices sold by different manufacturers. We show that all of the Zigbee devices are vulnerable to the attack, while the Wi-Fi devices are vulnerable to the attack to varying degrees. Chiefly, we show that an attacker can cause over 90% packet loss on a Zigbee or Wi-Fi channel, using respectively six or five orders of magnitude less energy than a constant jammer would. Finally, we present several methods, with different degrees of sophistication, for detecting the attacks.