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Security and Communication Networks
Volume 2017, Article ID 5098626, 8 pages
Research Article

RFA: -Squared Fitting Analysis Model for Power Attack

1The School of Computer Science, Beijing Institute of Technology, Beijing 100081, China
2State Key Laboratory of Cryptology, P.O. Box 5159, Beijing 100878, China
3The College of Bioengineering, Beijing Polytechnic, Beijing 100176, China
4The Science and Technology on Information Assurance Laboratory, Beijing 100072, China

Correspondence should be addressed to Liehuang Zhu; nc.ude.tib@zgnauheil

Received 4 January 2017; Accepted 27 February 2017; Published 18 April 2017

Academic Editor: Xiaojiang Du

Copyright © 2017 An Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Correlation Power Analysis (CPA) introduced by Brier et al. in 2004 is an important method in the side-channel attack and it enables the attacker to use less cost to derive secret or private keys with efficiency over the last decade. In this paper, we propose -squared fitting model analysis (RFA) which is more appropriate for nonlinear correlation analysis. This model can also be applied to other side-channel methods such as second-order CPA and collision-correlation power attack. Our experiments show that the RFA-based attacks bring significant advantages in both time complexity and success rate.