Research on ECDSA timing attack based on hidden Markov model

Huihui Jia; Yuanyuan Yang; Haohao Song

doi:10.1117/12.2639130

15 July 2022 Research on ECDSA timing attack based on hidden Markov model

Huihui Jia, Yuanyuan Yang, Haohao Song

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580Y (2022) https://doi.org/10.1117/12.2639130
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

Timing attack is a side channel attack method. Elliptic curve cryptography (ECC) is one of the most important publickey cryptography. In this paper, a new timing attack on the Elliptic Curve Digital Signature Algorithm (ECDSA) based on Hidden Markov Model (HMM) was presented. Precisely speaking, the Grover algorithm was used to retrieve the parts of the ephemeral key, and the Koblitz Curve K-409 which was recommended by NIST was attacked successfully. The experiment results showed that the attack could recover almost all the key bits in a few minutes by collecting only once timing dates, and was easy to experiment at a high success rate.

Citation Download Citation

Huihui Jia, Yuanyuan Yang, and Haohao Song "Research on ECDSA timing attack based on hidden Markov model", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580Y (15 July 2022); https://doi.org/10.1117/12.2639130

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