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  1. Proceedings of the 2017 International Conference on Biometrics Engineering and Application (ICBEA '17)
  2. Tamper resistance evaluation of PUF implementation against machine learning attack
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Tamper resistance evaluation of PUF implementation against machine learning attack
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Tamper resistance evaluation of PUF implementation against machine learning attack

Content Provider ACM Digital Library
Author Nozaki, Yusuke Yoshikawa, Masaya
Abstract Recently, the semiconductor counterfeiting has become a serious problem. To counter this problem, Physical Unclonable Function (PUF) has been attracted attention. However, the risk of machine learning attacks for PUF is pointed out. To verify the safety of PUF, the evaluation (tamper resistance) against machine learning attacks in the difference of PUF implementations is very important. However, the tamper resistance evaluation in the difference of PUF implementation has barely been reported. Therefore, this study evaluates the tamper resistance of PUF in the difference of field programmable gate array (FPGA) implementations against machine learning attacks. Experiments using an FPGA clarified the arbiter PUF of the lookup table implementation has the tamper resistance against machine learning attacks.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450348713
DOI 10.1145/3077829.3077830
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-04-21
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Machine learning Physical unclonable function Authentication of semiconductor component Tamper resistance
Content Type Text
Resource Type Article
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