@inproceedings{9a1e39307bf04ce797d1d71281d34638,
title = "Improvement of power analysis attacks using Kalman filter",
abstract = "Power analysis attacks are non intrusive and easily mounted. As a consequence, there is a growing interest in efficient implementation of these attacks against block cipher algorithms such as Data Encryption Standard (DES) and Advanced Encryption Standard (AES). In our paper we propose a new technique based on the Kalman theory. We show how this technique could be useful for the cryptographic domain by making power analysis attacks faster. Moreover we prove that the Kalman filter is more powerful than the High Order Statistics technique.",
keywords = "High order statistics, Kalman filtering, Power analysis attacks (SPA, DPA, CPA), Symmetrical encryption (AES, DES)",
author = "Youssef Souissi and Sylvain Guilley and Danger, \{Jean Luc\} and Sami Mekki and Guillaume Duc",
year = "2010",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2010.5495428",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1778--1781",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}