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Machine learning in side-channel analysis: a first study

2011294 citationsJournal Articlegreen Open Access

Authors

Gabriel Hospodar · KU Leuven

Benedikt Gierlichs · KU Leuven

Elke De Mulder · KU Leuven

Ingrid Verbauwhede · KU Leuven

Joos Vandewalle · KU Leuven

Topics & Keywords

Cryptographic Implementations and Security Physical Unclonable Functions (PUFs) and Hardware Security Chaos-based Image/Signal Encryption

UN Sustainable Development Goals

Affordable and clean energy

Publication Details

Published in: Journal of Cryptographic Engineering

Volume 1, Issue 4, pp. 293-302

DOI: 10.1007/s13389-011-0023-x

Field-Weighted Citation Impact: 10.65

Machine learning in side-channel analysis: a first study | Researchclopedia