{"title":"基于最大状态转移探索的木马电路检测","authors":"Joseph Lenox, S. Tragoudas","doi":"10.1109/IOLTS.2015.7229831","DOIUrl":null,"url":null,"abstract":"An approach for Trojan circuit detection in a finite state machine is presented. It is based on a model where long sequences of inputs that are applied to the system in the functional mode can detect if Trojan hardware is triggered with high probability. An efficient and scalable input generation algorithm for broadside tests is introduced.","PeriodicalId":413023,"journal":{"name":"2015 IEEE 21st International On-Line Testing Symposium (IOLTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards Trojan circuit detection with maximum state transition exploration\",\"authors\":\"Joseph Lenox, S. Tragoudas\",\"doi\":\"10.1109/IOLTS.2015.7229831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach for Trojan circuit detection in a finite state machine is presented. It is based on a model where long sequences of inputs that are applied to the system in the functional mode can detect if Trojan hardware is triggered with high probability. An efficient and scalable input generation algorithm for broadside tests is introduced.\",\"PeriodicalId\":413023,\"journal\":{\"name\":\"2015 IEEE 21st International On-Line Testing Symposium (IOLTS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 21st International On-Line Testing Symposium (IOLTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOLTS.2015.7229831\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 21st International On-Line Testing Symposium (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2015.7229831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Trojan circuit detection with maximum state transition exploration
An approach for Trojan circuit detection in a finite state machine is presented. It is based on a model where long sequences of inputs that are applied to the system in the functional mode can detect if Trojan hardware is triggered with high probability. An efficient and scalable input generation algorithm for broadside tests is introduced.