A dual detection scheme combining a timing threshold and a Random Forest classifier is proposed to detect simulated AES anomalies, but the paper gives no quantitative results and its features leak the injected anomalies.
Machine learning based side-channel- attack countermeasure with hamming-distance redistribution and its application on advanced encryption standard
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Hybrid Cryptographic Monitoring System for Side-Channel Attack Detection on PYNQ SoCs
A dual detection scheme combining a timing threshold and a Random Forest classifier is proposed to detect simulated AES anomalies, but the paper gives no quantitative results and its features leak the injected anomalies.