RFA: R-Squared Fitting Analysis Model for Power Attack

An Wang; Yu Zhang; Liehuang Zhu; Weina Tian; Rixin Xu; Guoshuang Zhang

doi:10.1155/2017/5098626

RFA: R-Squared Fitting Analysis Model for Power Attack

An Wang, Yu Zhang, Liehuang Zhu^*, Weina Tian, Rixin Xu, Guoshuang Zhang

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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 R-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.

Original language	English
Article number	5098626
Journal	Security and Communication Networks
Volume	2017
DOIs	https://doi.org/10.1155/2017/5098626
Publication status	Published - 2017

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Wang, A., Zhang, Y., Zhu, L., Tian, W., Xu, R., & Zhang, G. (2017). RFA: R-Squared Fitting Analysis Model for Power Attack. Security and Communication Networks, 2017, Article 5098626. https://doi.org/10.1155/2017/5098626

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abstract = "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 R-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.",

author = "An Wang and Yu Zhang and Liehuang Zhu and Weina Tian and Rixin Xu and Guoshuang Zhang",

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AU - Wang, An

AU - Zhang, Yu

AU - Zhu, Liehuang

AU - Tian, Weina

AU - Xu, Rixin

AU - Zhang, Guoshuang

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N2 - 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 R-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.

AB - 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 R-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.

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VL - 2017

JO - Security and Communication Networks

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ER -

RFA: R-Squared Fitting Analysis Model for Power Attack

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