Automatic Alignment for Side-Channel Attack Against Cryptographic Modules
Sying-Jyan Wang, Yi-Chi Lin, Chen-Yeh Lin, Song‐Kong Chong, Katherine Shu-Min Li · 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA) · 2022
Data encryption is critical for information security. Previous studies show that power analysis is a powerful tool for side-channel attack (SCA) against cryptographic modules. Therefore, it is essential to carry out power analysis to assess the vulnerability of cryptographic modules. The success of power analysis relies on aligned power traces, which is not easy without an external trigger point. In this paper, we propose an automatic power trace alignment method so that operations in power traces and be located without external trigger points. Experimental results show that the proposed method can be applied to various ciphers, including AES and RSA.