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Volumn , Issue , 2010, Pages 237-249

Modeling attacks on physical unclonable functions

Author keywords

Cryptanalysis; Machine learning; Physical cryptography; Physical unclonable functions

Indexed keywords

CHALLENGE-RESPONSE PAIR; COMPUTER ALGORITHM; CRYPTANALYSIS; EVOLUTION STRATEGIES; FEED-FORWARD; LOGISTIC REGRESSIONS; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; NEW DESIGN; NUMERICAL MODELING; PHYSICAL CRYPTOGRAPHY; PHYSICAL UNCLONABLE FUNCTIONS; RING OSCILLATOR;

EID: 78649989155     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1866307.1866335     Document Type: Conference Paper
Times cited : (853)

References (32)
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    • editors, TRUST, Springer
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    • San Francisco: IEEE
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    • (1993) Proceedings of the IEEE International Conference on Neural Networks , vol.1993 , pp. 586-591
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    • U. Rührmair, C. Jaeger, C. Hilgers, M. Algasinger, G. Csaba, and M. Stutzmann. Security applications of diodes with unique current-voltage characteristics. In Lecture Notes in Computer Science, volume 6052, Tenerife (Spain), January 25 - 28 2010. 14th International Conference on Financial Cryptography and Data Security, Springer.
    • (2010) Lecture Notes in Computer Science , vol.6052
    • Rührmair, U.1    Jaeger, C.2    Hilgers, C.3    Algasinger, M.4    Csaba, G.5    Stutzmann, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.