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Document type:
Zeitschriftenaufsatz 
Author(s):
Kulow, Alexander and Schamberger, Thomas and Tebelmann, Lars and Sigl, Georg 
Title:
Finding the Needle in the Haystack: Metrics for Best Trace Selection in Unsupervised Side-Channel Attacks on Blinded RSA 
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...    »
 
Keywords:
Side-channel analysis, RSA, exponentiation, unsupervised machine learning, PCA, best trace selection 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
IEEE Transactions on Information Forensics and Security 
Year:
2021 
Journal volume:
16 
Year / month:
2021-05 
Quarter:
2. Quartal 
Month:
May 
Pages contribution:
3254-3268