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Frequency Domain Horizontal Cross Correlation Analysis of RSAAKALP KUZU, E. , TANGEL, A. , ORS YALCIN, S. B. |
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Author keywords
ciphers, classification algorithms, data security, leakage currents, public key cryptography
References keywords
analysis(17), power(14), correlation(12), attack(11), systems(10), embedded(9), attacks(9), hardware(8), cryptographic(8), information(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 3 - 10
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02001
Web of Science Accession Number: 000810486800001
SCOPUS ID: 85131767163
Abstract
This study shows that a previously published cross correlation based power analysis (CCPA) attack applied to the Montgomery Ladder exponentiation steps of a Rivest Shamir Adleman (RSA) implementation can be improved by working in frequency domain. It is shown that utilizing cross correlation values of discrete Fourier transform (DFT) coefficients instead of time samples, requires lesser power traces to retrieve the key bits of the target implementation. In addition, instead of using DFT coefficients corresponding to the whole measured frequency band, using a few DFT coefficients corresponding to lower bands, even under the first harmonic of the target clock is also an improving factor on the performance of the CCPA. Practical and theoretical results are also compared to both domains. To the best of our knowledge, this is the first study to show the frequency domain applicability and superiorities in terms of horizontal CCPA type attacks. |
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[1] Trace Alignment Preprocessing in Side-Channel Analysis Using the Adaptive Filter, Gu, Shuyi, Luo, Zhenghua, Chu, Yingjun, Xu, Yanghui, Jiang, Ying, Guo, Junxiong, IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, Issue , 2023.
Digital Object Identifier: 10.1109/TIFS.2023.3310350 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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