Leverage the Average: Averaged Sampling in Pre-Silicon Side-Channel Leakage Assessment
Pantea Kiaei, Zhenyuan Liu, Patrick Schaumont

TL;DR
This paper proposes an averaged sampling technique for pre-silicon side-channel leakage assessment that significantly reduces power simulation costs while maintaining assessment accuracy, supported by theoretical analysis and empirical results.
Contribution
It introduces a novel averaging-based sampling method for side-channel analysis, reducing simulation time without compromising accuracy, and provides theoretical conditions for its effective use.
Findings
Up to 6.5-fold reduction in power simulation time.
Maintains assessment quality despite downsampling.
Clarifies conditions for successful averaging application.
Abstract
Pre-silicon side-channel leakage assessment is a useful tool to identify hardware vulnerabilities at design time, but it requires many high-resolution power traces and increases the power simulation cost of the design. By downsampling and averaging these high-resolution traces, we show that the power simulation cost can be considerably reduced without significant loss of side-channel leakage assessment quality. We introduce a theoretical basis for our claims. Our results demonstrate up to 6.5-fold power-simulation speed improvement on a gate-level side-channel leakage assessment of a RISC-V SoC. Furthermore, we clarify the conditions under which the averaged sampling technique can be successfully used.
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