题名 | RAFT: Hardware-assisted Dynamic Information Flow Tracking for Runtime Protection on RISC-V |
作者 | |
通讯作者 | Zhang,Fengwei |
DOI | |
发表日期 | 2023-10-16
|
会议名称 | RAID 2023
|
会议录名称 | |
页码 | 595-608
|
会议日期 | 2023.10.16
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会议地点 | Hong Kong
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出版地 | 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
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出版者 | |
摘要 | Dynamic Information Flow Tracking (DIFT) is a fundamental computer security technique that tracks the data flow of interest at runtime, overcoming the limitations of discovering data dependencies statically at compilation time. However, software-based DIFT tools often suffer from unbearably high runtime overhead due to dynamic binary instrumentation or virtual machine, limiting the usefulness of DIFT. Even though hardware-assisted DIFT frameworks cut down the performance overhead effectively, it is still unacceptable for applications under rigorous time constraints. This paper presents Raft, a flexible hardware-assisted DIFT framework that provides runtime protection for embedded applications without delay to the programs. Our framework is designed as a coprocessor for a RISC-V Rocket Core, introducing minimallyinvasive changes to the main processor. In Raft, we apply a novel storage mechanism with hybrid byte/variable granularity to reduce the size of tag storage and provide fine-grained protection. We deploy Raft on the Rocket emulator and FPGA development board to evaluate its effectiveness and efficiency. The experiment results show that, compared to previous approaches, Raft cuts down the performance overhead from more than 20% to less than 0.1% on NBench and CoreMark microbenchmarks. The performance overhead of Raft on SPEC CINT 2006 benchmarks is negligible (0.13%). We also utilize a customized program to demonstrate its functionality and conduct a detailed evaluation with a real-world embedded medical application and known CVEs. |
关键词 | |
学校署名 | 第一
; 通讯
|
语种 | 英语
|
相关链接 | [Scopus记录] |
收录类别 | |
资助项目 | National Natural Science Foundation of China["62002151","62102175"]
; Shenzhen Science and Technology Program["SGDX20201103095408029","ZDSYS20210623092007023"]
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WOS研究方向 | Computer Science
|
WOS类目 | Computer Science, Information Systems
; Computer Science, Theory & Methods
|
WOS记录号 | WOS:001147724400040
|
EI入藏号 | 20234515025505
|
EI主题词 | Application programs
; Digital storage
; Rockets
|
EI分类号 | Rockets and Missiles:654.1
; Data Storage, Equipment and Techniques:722.1
; Computer Software, Data Handling and Applications:723
|
Scopus记录号 | 2-s2.0-85175711968
|
来源库 | Scopus
|
引用统计 | |
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/602176 |
专题 | 工学院_斯发基斯可信自主研究院 工学院_计算机科学与工程系 |
作者单位 | 1.Research Institute of Trustworthy Autonomous Systems,Southern University of Science and Technology,China 2.Department of Computer Science and Engineering,Southern University of Science and Technology,China 3.Hunan University,China Southern University of Science and Technology,China 4.Huawei Technologies Co.,Ltd,China 5.Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet,Southern University of Science and Technology,China |
第一作者单位 | 斯发基斯可信自主系统研究院; 计算机科学与工程系 |
通讯作者单位 | 计算机科学与工程系; 南方科技大学 |
第一作者的第一单位 | 斯发基斯可信自主系统研究院 |
推荐引用方式 GB/T 7714 |
Wang,Yu,Wu,Jinting,Zheng,Haodong,et al. RAFT: Hardware-assisted Dynamic Information Flow Tracking for Runtime Protection on RISC-V[C]. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES:ASSOC COMPUTING MACHINERY,2023:595-608.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
RAFT 2023.pdf(730KB) | -- | -- | 开放获取 | -- | 浏览 |
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