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Proposed model analyzes implicit attacks in processors while enhancing hardware defenses, suggesting new security methods.
Speculative execution attacks significantly compromise the security of modern processors by enabling information leakage. These well-known attacks exploit speculative cache-based covert channels to effectively exfiltrate secret data by altering cache states. Existing hardware defenses specifically designed to prevent cache-based covert channels are effective at blocking explicit channels. However, their protection against implicit attack variants remains limited, since these hardware defenses do not fully eliminate secret-dependent microarchitectural changes in caches. In this paper, we propose TrackRISC, a framework which comprises (i) a refined implicit attack flow model specifically for the exploration and analysis of implicit cache-based speculative execution attacks which severely compromise the security of existing hardware defenses, and (ii) a security-enhanced tracking and mitigation microarchitecture, termed TrackRISC-Defense, designed to mitigate both implicit and explicit attack variants that use speculative cache-based covert channels. To obtain realistic hardware evaluation results, we implement and evaluate both TrackRISC-Defense and a representative existing defense on top of the Berkeley’s out-of-order RISC-V processor core (SonicBOOM) using the VCU118 FPGA platform running Linux. Compared to the representative existing defense which incurs a performance overhead of 13.8%, TrackRISC-Defense ensures stronger security guarantees with a performance overhead of 19.4%. In addition, TrackRISC-Defense can mitigate both explicit and implicit speculative cache-based covert channels with a register-based hardware resource overhead of 0.4%.
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Zhang et al. (2025) studied this question.
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