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Titel:

Finding the Needle in the Haystack: Metrics for Best Trace Selection in Unsupervised Side-Channel Attacks on Blinded RSA

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kulow, Alexander and Schamberger, Thomas and Tebelmann, Lars and Sigl, Georg
Abstract:
For asymmetric ciphers, such as RSA and ECC, side-channel attacks on the underlying exponentiation are mitigated by countermeasures like constant-time implementation and blinding. This restricts an attacker to a single side-channel trace for an attack as a different representation of the private key is used for each exponentiation. In this work, we propose an unsupervised machine learning framework for side-channel attacks on asymmetric cryptography that analyzes leakage in multiple side...     »
Stichworte:
Side-channel analysis, RSA, exponentiation, unsupervised machine learning, PCA, best trace selection
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
IEEE Transactions on Information Forensics and Security
Jahr:
2021
Band / Volume:
16
Jahr / Monat:
2021-05
Quartal:
2. Quartal
Monat:
May
Seitenangaben Beitrag:
3254-3268
Volltext / DOI:
doi:10.1109/TIFS.2021.3074884
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