@inproceedings{fca80cfa5e134fdca8e519a437916864,
title = "VGG-based side channel attack on RSA implementation",
abstract = "Profiling attack based on smaller and deeper neural network VGGNet is performed on a smart-card CRT-RSA implementation. CRT-RSA implementation uses security countermeasures including masking and time jittering. An ad-hoc method is applied to extract points from traces to perform an effective deep learning profiling attack. State-of-the-art convolutional networks are trained and compared on our data set. Experiment results show that the VGG13 network achieves the best performance with less training time, which can be a start point balancing performance and computational resources.",
keywords = "CRT-RSA, Deep learning, Side channel attack",
author = "Qi Lei and Chao Li and Kexin Qiao and Zhe Ma and Bo Yang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 ; Conference date: 29-12-2020 Through 01-01-2021",
year = "2020",
month = dec,
doi = "10.1109/TrustCom50675.2020.00154",
language = "English",
series = "Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1157--1161",
editor = "Guojun Wang and Ryan Ko and Bhuiyan, {Md Zakirul Alam} and Yi Pan",
booktitle = "Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020",
address = "United States",
}