TF-Timer: Mitigating Cache Side-Channel Attacks in Cloud through a Targeted Fuzzy Timer

被引:0
作者
Wang, Mingyu [1 ,2 ]
Jia, Shijie [1 ]
Zheng, Fangyu [3 ]
Ma, Yuan [1 ]
Lin, Jingqiang [4 ]
Meng, Lingjia [1 ,2 ]
Ma, Ziqiang [5 ]
机构
[1] Chinese Acad Sci, Inst Informat Engn, Key Lab Cyberspace Secur Def, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Sch Cyber Secur, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Sch Cryptol, Beijing, Peoples R China
[4] Univ Sci & Technol China, Sch Cyber Secur, Hefei, Peoples R China
[5] Ningxia Univ, Sch Informat Engn, Yinchuan, Ningxia, Peoples R China
来源
2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024 | 2024年
基金
中国国家自然科学基金;
关键词
Cache side-channel attacks; Intel VT; Fuzzy timer;
D O I
10.1109/WCNC57260.2024.10571330
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cache side-channel attacks pose a significant threat to the data security of multi-tenant public clouds. However, currently proposed defenses either lack transparency (requiring user involvement) or incur a significant performance penalty. This paper is motivated by our insightful observation for the behavior of cache side-channel attackers who employ rdtsc/rdtscp instructions for timing purposes. We have discerned a behavior pattern that enables comprehensive identification of potential attackers. Building upon this observation, we introduce TF-timer, which operates on the core principle of inspecting cache side-channel attacks using the pre-identified behavior pattern while obscuring the return values of rdtsc/rdtscp instructions. Our proposed technique preserves the properties of rdtsc/rdtscp, only blurring the attacker's timing to minimize the impact on other applications. We have implemented the prototype of TF-timer at the hypervisor layer. It is completely transparent to users and requires no hardware modifications. Our evaluation results demonstrate that TF-timer efficiently and precisely mitigates cache side-channel attacks that exploit rdtsc/rdtscp for timing, with performance penalties within 1%.
引用
收藏
页数:6
相关论文
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