2021
DOI: 10.1109/tcad.2020.3003849
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SNR-Centric Power Trace Extractors for Side-Channel Attacks

Abstract: Existing power trace extractors consider the case where the number of power traces available to the attacker is sufficient to guarantee successful attacks, and the goal of power trace extraction is to extract a small part of traces with high Signal-to-Noise Ratio (SNR) to reduce the complexity of attacks rather than to increase the success rates. Although strict theoretical proofs are given, the existing power trace extractors are too simple and leakage characteristics of Points-Of-Interest (POIs) have not bee… Show more

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Cited by 3 publications
(3 citation statements)
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“…Dynamically verifying the Hamming weights with the largest SNR can have a significant impact on the success rate of attacks. The authors in [32] proposed a new SNR-centric power trace extractor called Shortest Distance First (SDF). SDF takes advantage of known plaintexts to estimate the SNR of each power trace.…”
Section: Evaluation-style Analysis Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…Dynamically verifying the Hamming weights with the largest SNR can have a significant impact on the success rate of attacks. The authors in [32] proposed a new SNR-centric power trace extractor called Shortest Distance First (SDF). SDF takes advantage of known plaintexts to estimate the SNR of each power trace.…”
Section: Evaluation-style Analysis Methodologymentioning
confidence: 99%
“…These traces are grouped into subsets Trc i to evaluate the subkeys independently. For each sample j, we evaluate the traces in subset Trc i and calculate the signal-to-noise ratio (SNR) according to [32] using Equation (6), where H(τ), µ(τ), and T i,j (τ) represent the Hamming weight, the mean, and the sample power value of trace i at sample j. To expedite the process, we avoid their sorting method and instead apply a threshold to decide whether a trace should be included in the correlation analysis.…”
Section: Evaluation-style Analysis Methodologymentioning
confidence: 99%
“…This leads to the time-consuming computations. Recently, an improvement of power traces extractor presented by Ou et al [17] called Maximizing Estimated SNR First (MESF). Unlike the proposed in [15], the novelty of this work is that this technique extracts the subset of power traces with the smallest estimated noise and maximize the variance of the data-dependent power consumption.…”
Section: Introductionmentioning
confidence: 99%