Side Channel Attack (SCA) is a serious threat to the hardware implementation of cryptographic protocols. Various side channels such as, power, timing, electromagnetic emission and acoustic noise have been explored to extract the secret keys. Machine Learning (ML)-based detection of SCA have been proposed in past which incur high design overheads and, require digitization that reduce their accuracy under process variations.
https://ieeexplore.ieee.org/document/9256599