Paper Abstract and Keywords |
Presentation |
2014-07-11 14:30
Tamper resistance PUF ID based on secret sharing schemes Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) CAS2014-42 VLD2014-51 SIP2014-63 MSS2014-42 SIS2014-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recently years, semiconductor counterfeiting has become a serious problem. To prevent the problem, Physical Unclonable Function (PUF) attracts attention. PUF which utilizes random characteristic patterns prevents counterfeiting. Even if all circuit patterns are duplicated, PUF can identify genuineness semiconductor. However, the conventional PUF is weak against machine learning attacks. This study proposes generating method of PUFID that has tamper resistance. The proposed method uses secret sharing schemes. It eliminates the correlation between PUFID and model of PUF. Simulation results by machine learning attacks using SVM show that the prediction ratio of the proposed method was less than 1%, while that of conventional one was more than 99%. The proposed method achieved higher tamper resistance than conventional one. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Physical Unclonable Function / security / machine learning attacks / secret sharing schemes / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 123, VLD2014-51, pp. 225-230, July 2014. |
Paper # |
VLD2014-51 |
Date of Issue |
2014-07-02 (CAS, VLD, SIP, MSS, SIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CAS2014-42 VLD2014-51 SIP2014-63 MSS2014-42 SIS2014-42 |
Conference Information |
Committee |
CAS SIP MSS VLD SIS |
Conference Date |
2014-07-09 - 2014-07-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
System, signal processing and related topics |
Paper Information |
Registration To |
VLD |
Conference Code |
2014-07-CAS-SIP-MSS-VLD-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Tamper resistance PUF ID based on secret sharing schemes |
Sub Title (in English) |
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Keyword(1) |
Physical Unclonable Function |
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security |
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machine learning attacks |
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secret sharing schemes |
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1st Author's Name |
Yusuke Nozaki |
1st Author's Affiliation |
Meijo University (Meijo Univ.) |
2nd Author's Name |
Masaya Yoshikawa |
2nd Author's Affiliation |
Meijo University (Meijo Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-07-11 14:30:00 |
Presentation Time |
20 minutes |
Registration for |
VLD |
Paper # |
CAS2014-42, VLD2014-51, SIP2014-63, MSS2014-42, SIS2014-42 |
Volume (vol) |
vol.114 |
Number (no) |
no.122(CAS), no.123(VLD), no.124(SIP), no.125(MSS), no.126(SIS) |
Page |
pp.225-230 |
#Pages |
6 |
Date of Issue |
2014-07-02 (CAS, VLD, SIP, MSS, SIS) |
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