Yier Jin, Dean Sullivan, Orlando Arias, A. Sadeghi, Lucas Davi
{"title":"硬件控制流程完整性","authors":"Yier Jin, Dean Sullivan, Orlando Arias, A. Sadeghi, Lucas Davi","doi":"10.1145/3129743.3129751","DOIUrl":null,"url":null,"abstract":"Control-Flow Integrity (CFI) is a promising and general defense against control-flow hijacking with formal underpinnings. A key insight from the extensive research on CFI is that its effectiveness depends on the precision and coverage of a program's Control-Flow Graph (CFG). Since precise CFG generation is highly challenging and often difficult, many CFI schemes rely on brittle heuristics and imprecise, coarse-grained CFGs. Furthermore, comprehensive, fine-grained CFI defenses implemented purely in software incur overheads that are unacceptably high. In this chapter, we first specify a CFI model that captures many known CFI techniques, including stateless and stateful approaches as well as fine-grained and coarse-grained CFI policies.We then design and implement a novel hardwareenhanced CFI. Key to this approach is a set of dedicated CFI instructions that can losslessly enforce any CFG and diverse CFI policies within our model. Moreover, we fully support multi-tasking and shared libraries, prevent various forms of codereuse attacks, and allow code protected with CFI to interoperate with unprotected legacy code. Our prototype implementation on the SPARC LEON3 is highly efficient with a performance overhead of 1.75% on average when applied to several SPECInt2006 benchmarks and 0.5% when applied to EEMBC's CoreMark benchmark.","PeriodicalId":267501,"journal":{"name":"The Continuing Arms Race","volume":"419 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Hardware control flow integrity\",\"authors\":\"Yier Jin, Dean Sullivan, Orlando Arias, A. Sadeghi, Lucas Davi\",\"doi\":\"10.1145/3129743.3129751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Control-Flow Integrity (CFI) is a promising and general defense against control-flow hijacking with formal underpinnings. A key insight from the extensive research on CFI is that its effectiveness depends on the precision and coverage of a program's Control-Flow Graph (CFG). Since precise CFG generation is highly challenging and often difficult, many CFI schemes rely on brittle heuristics and imprecise, coarse-grained CFGs. Furthermore, comprehensive, fine-grained CFI defenses implemented purely in software incur overheads that are unacceptably high. In this chapter, we first specify a CFI model that captures many known CFI techniques, including stateless and stateful approaches as well as fine-grained and coarse-grained CFI policies.We then design and implement a novel hardwareenhanced CFI. Key to this approach is a set of dedicated CFI instructions that can losslessly enforce any CFG and diverse CFI policies within our model. Moreover, we fully support multi-tasking and shared libraries, prevent various forms of codereuse attacks, and allow code protected with CFI to interoperate with unprotected legacy code. Our prototype implementation on the SPARC LEON3 is highly efficient with a performance overhead of 1.75% on average when applied to several SPECInt2006 benchmarks and 0.5% when applied to EEMBC's CoreMark benchmark.\",\"PeriodicalId\":267501,\"journal\":{\"name\":\"The Continuing Arms Race\",\"volume\":\"419 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Continuing Arms Race\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3129743.3129751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Continuing Arms Race","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3129743.3129751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control-Flow Integrity (CFI) is a promising and general defense against control-flow hijacking with formal underpinnings. A key insight from the extensive research on CFI is that its effectiveness depends on the precision and coverage of a program's Control-Flow Graph (CFG). Since precise CFG generation is highly challenging and often difficult, many CFI schemes rely on brittle heuristics and imprecise, coarse-grained CFGs. Furthermore, comprehensive, fine-grained CFI defenses implemented purely in software incur overheads that are unacceptably high. In this chapter, we first specify a CFI model that captures many known CFI techniques, including stateless and stateful approaches as well as fine-grained and coarse-grained CFI policies.We then design and implement a novel hardwareenhanced CFI. Key to this approach is a set of dedicated CFI instructions that can losslessly enforce any CFG and diverse CFI policies within our model. Moreover, we fully support multi-tasking and shared libraries, prevent various forms of codereuse attacks, and allow code protected with CFI to interoperate with unprotected legacy code. Our prototype implementation on the SPARC LEON3 is highly efficient with a performance overhead of 1.75% on average when applied to several SPECInt2006 benchmarks and 0.5% when applied to EEMBC's CoreMark benchmark.