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1 June 2023 Research on low-pass filter and denoising autoencoder for side channel attack
Yi'ang Li, Lixin Yu, Wei Zhuang, Zhiyong Qin
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Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127180V (2023) https://doi.org/10.1117/12.2681568
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China
Abstract
The original energy trace dataset have low signal-to-noise ratio which extremely seriously affects the efficiency of side channel attack. For features in energy analysis attacks, this paper proposes a noise reduction method solving the problem that the traces mainly focus on desynchronization and gaussian noise. By combining the low-pass filtering and the DAE model used in this paper, the energy trace is reduced to achieve a high signal-to-noise ratio and expose the POI position of the leakage point clearly. As the image indicates, this work increases the signal to noise ratio of the noise energy trace by 75.9%.
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Yi'ang Li, Lixin Yu, Wei Zhuang, and Zhiyong Qin "Research on low-pass filter and denoising autoencoder for side channel attack", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127180V (1 June 2023); https://doi.org/10.1117/12.2681568
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KEYWORDS
Signal to noise ratio
Denoising
Linear filtering
Machine learning
Digital filtering
Deep convolutional neural networks
Interference (communication)
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