RFA: R-Squared Fitting Analysis Model for Power Attack

Abstract EN

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.