Machine learning attacks on 65nm Arbiter PUFs: Accurate modeling poses strict bounds on usability

WIFS 2012 - Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security

Volumn , Issue , 2012, Pages 37-42

  Hospodar, Gabriel ^a   Maes, Roel ^a   Verbauwhede, Ingrid ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

65NM CMOS; ACCURATE MODELING; CHALLENGE RESPONSE; CHALLENGE-RESPONSE PAIR; CRYPTOGRAPHIC KEY; HARDWARE SECURITY; MACHINE LEARNING TECHNIQUES; PHYSICALLY UNCLONABLE FUNCTIONS; SECRET KEY; SILICON IMPLEMENTATION; TRAINING SETS;

ASYNCHRONOUS SEQUENTIAL LOGIC; AUTHENTICATION; LEARNING SYSTEMS; SECURITY OF DATA; UNCERTAINTY ANALYSIS;

CRYPTOGRAPHY;

EID: 84874047126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIFS.2012.6412622     Document Type: Conference Paper

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