[Resource Topic] 2020/1383: Novel Single-Trace ML Profiling Attacks on NIST 3 Round candidate Dilithium

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Title:
Novel Single-Trace ML Profiling Attacks on NIST 3 Round candidate Dilithium

Authors: Il-Ju Kim, Tae-Ho Lee, Jaeseung Han, Bo-Yeon Sim, Dong-Guk Han

Abstract:

Dilithium is a lattice-based digital signature, one of the finalist candidates in the NIST’s standardization process for post-quantum cryptography. In this paper, we propose a first side-channel attack on the process of signature generation of Dilithium. During the Dilithium signature generation process, we used NTT encryption single-trace for machine learning-based profiling attacks. In addition, it is possible to attack masked Dilithium using sparse multiplication. The proposed method is shown through experiments that all key values can be exposed 100% through a single-trace regardless of the optimization level.

ePrint: https://eprint.iacr.org/2020/1383

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