关键词: 旁路分析, 深度学习, 安全评估, 信息熵

Abstract:

Deep Learning Side Channel Analysis/Attack（DLSCA）based on deep learning is very effective for decryption in various side channel attack scenarios. But DLSCA still has security evaluation problems. This paper is based on the power analysis of AES symmetric encryption algorithm, and explains the reason why traditional machine learning performance metrics such as Accuracy can not evaluate from information entropy. The key information is defined to find out the relationship between side channel security evaluation and the performance of the DNN model during a training phase. Associated with the key information, a DLSCA security evaluation framework is set up.

Key words: side channel analysis, deep learning, security evaluation, information entropy