Real-time Detection of Cache Side-channel Attack Using Non-cache Hardware Events

Hodong Kim, Changhee Hahn, Junbeom Hur
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引用次数: 4

Abstract

Cache side-channel attack is a class of attacks to retrieve sensitive information from a system by exploiting shared resource in CPUs. As the attacks are delivered to wide range of environments from mobile systems to cloud recently, many detection strategies have been proposed. Since the conventional cache side-channel are likely to incur tremendous number of cache events, most of the previous detection mechanisms were designed to carefully monitor cache events. However, recently proposed attacks tend to incur less cache events during the attack. PRIME+ABORT attack, for example, leverages the Intel TSX instead of accessing cache to measure access time. Because of the characteristic, cache event based detection mechanisms may hardly distinguish the attack. In this paper, we conduct an in-depth analysis of the PRIME+ABORT attack to identify the other useful hardware events for detection rather than cache events. Based on our finding, we present a novel mechanism called PRIME+ABORT Detector to detect the PRIME+ABORT attack and demonstrate that the detection mechanism can achieve 99.5% success rates with 0.3% performance overhead.
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基于非缓存硬件事件的缓存侧信道攻击实时检测
缓存侧通道攻击是一种利用cpu共享资源从系统中获取敏感信息的攻击。近年来,随着网络攻击的传播范围越来越广,从移动系统到云计算,人们提出了许多检测策略。由于传统的缓存侧通道可能会产生大量的缓存事件,因此大多数以前的检测机制都被设计为仔细监视缓存事件。然而,最近提出的攻击倾向于在攻击期间引发较少的缓存事件。例如,PRIME+ABORT攻击利用英特尔TSX而不是访问缓存来测量访问时间。由于缓存事件的特性,基于缓存事件的检测机制很难区分攻击。在本文中,我们对PRIME+ABORT攻击进行了深入分析,以确定用于检测的其他有用硬件事件,而不是缓存事件。基于我们的发现,我们提出了一种名为PRIME+ABORT检测器的新机制来检测PRIME+ABORT攻击,并证明该检测机制可以在0.3%的性能开销下实现99.5%的成功率。
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