Hybrid Threshold Denoising Framework Using Singular Value Decomposition for Side-Channel Analysis Preprocessing

• Published in: Entropy (Basel, Switzerland) Vol. 25; no. 8; p. 1133
• Main Authors: Wang, Yuanzhen, Zhang, Hongxin, Fang, Xing, Cui, Xiaotong, Ning, Wenxu, Wang, Danzhi, Fan, Fan, Shu, Lei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 28.07.2023; MDPI
• Subjects: Approximation; Background noise; Circuits; Damping; Efficiency; low-rank matrix approximation; Methods; Noise control; noise filtering; Noise reduction; Power; Preprocessing; Schatten norm; side-channel analysis; signal preprocessing; Signal processing; Signal quality; Signal to noise ratio; Singular value decomposition; Sparsity; Spectrum analysis; System theory; Wavelet transforms; China; Germany

The traces used in side-channel analysis are essential to breaking the key of encryption and the signal quality greatly affects the correct rate of key guessing. Therefore, the preprocessing of side-channel traces plays an important role in side-channel analysis. The process of side-channel leakage...