Shervin Roshanisefat, Harshith K. Thirumala, K. Gaj, H. Homayoun, Avesta Sasan
{"title":"测试SAT解算器在击败混淆方案中的能力和局限性","authors":"Shervin Roshanisefat, Harshith K. Thirumala, K. Gaj, H. Homayoun, Avesta Sasan","doi":"10.1109/IOLTS.2018.8474189","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the strength of six different SAT solvers in attacking various obfuscation schemes. Our investigation revealed that Glucose and Lingeling SAT solvers are generally suited for attacking small-to-midsize obfuscated circuits, while the MapleGlucose, if the system is not memory bound, is best suited for attacking mid-to-difficult obfuscation methods. Our experimental result indicates that when dealing with extremely large circuits and very difficult oufuscation problems, the SAT solver may be memory bound, and Lingeling, for having the most memory efficient implementation, is the best suited solver for such problems. Additionally, our investigation revealed that SAT solver execution times may vary widely across different SAT solvers. Hence, when testing the hardness of an obfuscation methods, although the increase in difficulty could be verified by one SAT solver, the pace of increase in difficulty is dependent on the choice of a SAT solver.","PeriodicalId":241735,"journal":{"name":"2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes\",\"authors\":\"Shervin Roshanisefat, Harshith K. Thirumala, K. Gaj, H. Homayoun, Avesta Sasan\",\"doi\":\"10.1109/IOLTS.2018.8474189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the strength of six different SAT solvers in attacking various obfuscation schemes. Our investigation revealed that Glucose and Lingeling SAT solvers are generally suited for attacking small-to-midsize obfuscated circuits, while the MapleGlucose, if the system is not memory bound, is best suited for attacking mid-to-difficult obfuscation methods. Our experimental result indicates that when dealing with extremely large circuits and very difficult oufuscation problems, the SAT solver may be memory bound, and Lingeling, for having the most memory efficient implementation, is the best suited solver for such problems. Additionally, our investigation revealed that SAT solver execution times may vary widely across different SAT solvers. Hence, when testing the hardness of an obfuscation methods, although the increase in difficulty could be verified by one SAT solver, the pace of increase in difficulty is dependent on the choice of a SAT solver.\",\"PeriodicalId\":241735,\"journal\":{\"name\":\"2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOLTS.2018.8474189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2018.8474189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes
In this paper, we investigate the strength of six different SAT solvers in attacking various obfuscation schemes. Our investigation revealed that Glucose and Lingeling SAT solvers are generally suited for attacking small-to-midsize obfuscated circuits, while the MapleGlucose, if the system is not memory bound, is best suited for attacking mid-to-difficult obfuscation methods. Our experimental result indicates that when dealing with extremely large circuits and very difficult oufuscation problems, the SAT solver may be memory bound, and Lingeling, for having the most memory efficient implementation, is the best suited solver for such problems. Additionally, our investigation revealed that SAT solver execution times may vary widely across different SAT solvers. Hence, when testing the hardness of an obfuscation methods, although the increase in difficulty could be verified by one SAT solver, the pace of increase in difficulty is dependent on the choice of a SAT solver.