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题名

ReminISCence: Trusted Monitoring Against Privileged Preemption Side-Channel Attacks

作者
通讯作者Qiang, Weizhong
DOI
发表日期
2024
会议名称
29th European Symposium on Research in Computer Security, ESORICS 2024
ISSN
0302-9743
EISSN
1611-3349
ISBN
9783031709029
会议录名称
卷号
14985 LNCS
页码
24-44
会议日期
September 16, 2024 - September 20, 2024
会议地点
Bydgoszcz, Poland
出版者
摘要
Trusted Execution Environments (TEEs) have long served as a prominent security measure for ensuring isolation and data privacy in cloud environments. However, their security foundations face challenges from numerous side-channel threats, particularly those involving privileged capabilities that enable potent preemption attacks. Various solutions exist to mitigate these attacks, including monitoring-based ones featured with higher efficiency. Unfortunately, existing monitoring-based solutions do not consider privileged preemption attacks and, therefore, are not qualified for trusted monitoring within TEE enclaves. In this paper, we propose ReminISCence, a novel trusted monitoring framework designed to mitigate privileged preemption side-channel attacks on TEE architectures. We present a trusted scheduling design that enforces control over the timer interrupts, which ensures the monitoring relies on untampered trusted time slices with valid lengths and cannot be bypassed via arbitrary timer preemption. Consequently, the privileged adversary is constrained to performing preemption attacks within trusted time slices solely via non-timer interrupts, which are confidentially monitored with full coverage by ReminISCence. We implement the ReminISCence prototype on off-the-shelf RISC-V hardware by extending the OpenSBI and leveraging the RISC-V HPM facility. Our evaluations demonstrate the prototype’s effectiveness and resilience to evasion in monitoring and analyzing preemption attacks of various RISC-V microarchitectural side-channels while maintaining high temporal resolution with negligible performance overhead (approximately 1% overhead at a resolution of 125 us).
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
学校署名
其他
语种
英语
收录类别
资助项目
We sincerely thank the anonymous reviewers for their constructive comments. This work was supported in part by National Key Research and Development Program of China (Grant No. 2022YFB4501500 and 2022YFB4501502) and National Natural Science Foundation of China (Grant No. 62272181).
EI入藏号
20243917080480
EI主题词
Data privacy ; Differential privacy ; Hardware security
EI分类号
:1106.2 ; :1108 ; :1108.1
来源库
EV Compendex
引用统计
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/841038
专题工学院_斯发基斯可信自主研究院
南方科技大学
工学院_计算机科学与工程系
作者单位
1.National Engineering Research Center for Big Data Technology and System, Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan; 430074, China
2.National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan; 430074, China
3.Jinyinhu Laboratory, Wuhan; 430040, China
4.Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen; 518055, China
推荐引用方式
GB/T 7714
Chen, Weijie,Zhao, Yu,Zhang, Yinqian,et al. ReminISCence: Trusted Monitoring Against Privileged Preemption Side-Channel Attacks[C]:Springer Science and Business Media Deutschland GmbH,2024:24-44.
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