RFA: R-Squared Fitting Analysis Model for Power Attack
| Autor: | Weina Tian, Rixin Xu, Yu Zhang, Liehuang Zhu, Guoshuang Zhang, An Wang |
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| Rok vydání: | 2017 |
| Předmět: |
Coefficient of determination
Article Subject Computer Networks and Communications Computer science 05 social sciences Nonlinear correlation 050801 communication & media studies 02 engineering and technology Computer security computer.software_genre 020202 computer hardware & architecture 0508 media and communications Power attack lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering lcsh:T1-995 Correlation power analysis lcsh:Science (General) Algorithm computer Time complexity lcsh:Q1-390 Information Systems |
| Zdroj: | Security and Communication Networks, Vol 2017 (2017) |
| ISSN: | 1939-0122 1939-0114 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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