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1. Multiple-Input, Multilayer-Perception-Based Classification of Traces From Side-Channel Attacks.

Author

Feng, Hanwen, Zhou, Jing, Lin, Weiguo, Zhang, Yujuan, and Qu, Zhiguo

Subjects
*PHYSICAL environment, *CLASSIFICATION, *PROBABILITY theory, *LABELS
Abstract

Side-channel analysis concerns cryptanalytic attacks that exploit the physical environment of cryptographic modules by analyzing leaking emanations and obtaining the encryption key. We propose a multiple-input, multilayer-perceptron-based method for classifying power traces, in which a probability is assigned to each class, indicating the likelihood that each trace corresponds to the label for further recovering the key. [ABSTRACT FROM AUTHOR]

Published
2020
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