Convolutional neural network based sidechannel attacks


  • Tran Ngoc Quy
  • Nguyen Thanh Tung
  • Do Quang Trung
  • Dang Hung Viet



Side-channel attack, Profiled attack, machine learning

Tóm tắt

Abstract— The profiled attack is considered one of the most effective side-channel attacks (SCA) methods used to reveal the secret key and evaluate the security of the cryptographic devices. By considering a classification problem, profiled SCA can be successfully conducted by machine learning techniques, as shown by recent works. However, these studies only provide general principles of the attack. Therefore, this paper presents technical aspects and specific instructions for an attacker when performing a profiled attack on a specific cryptographic device using a popular deep learning technique called convolution neural network. The experimental process and the results of the attack on AES-128 are presented to prove the effectiveness of the attack procedure.


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How to Cite

Quy, T. N., Tung, N. T., Trung, D. Q., & Viet, D. H. (2022). Convolutional neural network based sidechannel attacks. Journal of Science and Technology on Information Security, 1(15), 26-37.