Advantages of unsupervised learning analysis methods in single-trace SCA attacks

Author:

Aftowicz MarcinORCID,Kabin IevgenORCID,Dyka Zoya,Langendoerfer Peter

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference25 articles.

1. Digital Signature Standard (DSS): Request for Comments on the NIST-Recommended Elliptic Curves, (FIPS 186-4), Jul. 2013. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.186-4.pdf.

2. Resistance of the Montgomery Ladder Against Simple SCA: Theory and Practice;Kabin;J. Electron Test,2021

3. State-of-the-Art in Physical Side-Channel Attacks and Resistant Technologies;Hodgers;Secure Architectures of Future Emerging Cryptography (SAFEcrypto) D7.1,2016

4. Clustering versus Statistical Analysis for SCA: when Machine Learning is Better;Aftowicz,2021

5. Horizontal address-bit DPA against Montgomery kP implementation;Kabin,2017

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