EfficientNet-based electromagnetic attack on AES cipher chips

Wen Xu Ning; Hong Xin Zhang; Dan Zhi Wang; Fan Fan; Lei Shu

doi:10.1117/12.2678839

12 May 2023 EfficientNet-based electromagnetic attack on AES cipher chips

Wen Xu Ning, Hong Xin Zhang, Dan Zhi Wang, Fan Fan, Lei Shu

Proceedings Volume 12641, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023); 126410E (2023) https://doi.org/10.1117/12.2678839
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023), 2023, Changsha, China

Abstract

This paper presents a bypass attack on the Field Programmable gate array (FPGA) cryptographic chip Advanced encryption standard (AES) encryption algorithm. Since the accuracy of half-byte classification is low and the model is slow to converge and easy to overfit when using deep learning, this experiment proposes for the first time to introduce the deep learning network EfficientNet model into the field, which only targets the electromagnetic leakage information of the hardware during encryption for any half-byte, when the plaintext and ciphertext are unknown. This is followed by a "divide and conquer" approach to the entire key, where each half-byte is attacked to obtain the entire key. The accuracy of the model used in this study was found to be about 17% higher than that of common networks such as ResNet and DenseNet, and the model converged better.

Citation Download Citation

Wen Xu Ning, Hong Xin Zhang, Dan Zhi Wang, Fan Fan, and Lei Shu "EfficientNet-based electromagnetic attack on AES cipher chips", Proc. SPIE 12641, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023), 126410E (12 May 2023); https://doi.org/10.1117/12.2678839

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