Hybrid Threshold Denoising Framework Using Singular Value Decomposition for Side-Channel Analysis Preprocessing
Yuanzhen Wang, Hongxin Zhang, Xing Fang, Xiaotong Cui, Wenxu Ning, Danzhi Wang, Fan Fan, Lei Shu
A device can reveal its encryption key without saying a word. Tiny electrical traces carry clues about the secret, but noise can bury them before anyone can read them. What if the best way to improve an AES side-channel attack is not a new attack at all, but a smarter way to clean the measurements first? This paper uses singular value decomposition to keep useful leakage while suppressing noise.