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Paper Abstract and Keywords
Presentation 2018-12-06 09:50
Secure PUF Authentication Method against Machine Learning Attack
Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2018-49 DC2018-35
Abstract (in Japanese) (See Japanese page) 
(in English) It has been reported that the challenge and response authentication, which is a typical PUF authentication method, is vulnerable to machine learning attacks. Therefore, resistant-PUFs, which expand the structure of the conventional PUFs, have been proposed. However, the resistant-PUFs increase the circuit area due to the expansion of PUFs. Therefore, this study proposes a new secure PUF authentication method using secret sharing schemes. The proposed method utilizes distribution values, which are generated by the response regarded as the secret value, for authentication. Thus, the proposed method improves the resistance against machine learning attacks. Moreover, the proposed method can suppress the area overhead because it does not need the expansion for the PUF structure. Simulation experiments showed that the proposed method could improve the security of PUFs.
Keyword (in Japanese) (See Japanese page) 
(in English) PUF / Machine Learning Attack / Authentication / Secret Sharing Scheme / Hardware Security / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 334, VLD2018-49, pp. 77-82, Dec. 2018.
Paper # VLD2018-49 
Date of Issue 2018-11-28 (VLD, DC) 
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)
Download PDF VLD2018-49 DC2018-35

Conference Information
Committee VLD DC CPSY RECONF CPM ICD IE IPSJ-SLDM 
Conference Date 2018-12-05 - 2018-12-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus Hiroshima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Design Gaia 2018 -New Field of VLSI Design- 
Paper Information
Registration To VLD 
Conference Code 2018-12-VLD-DC-CPSY-RECONF-CPM-ICD-IE-SLDM-EMB-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Secure PUF Authentication Method against Machine Learning Attack 
Sub Title (in English)  
Keyword(1) PUF  
Keyword(2) Machine Learning Attack  
Keyword(3) Authentication  
Keyword(4) Secret Sharing Scheme  
Keyword(5) Hardware Security  
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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 2018-12-06 09:50:00 
Presentation Time 25 minutes 
Registration for VLD 
Paper # VLD2018-49, DC2018-35 
Volume (vol) vol.118 
Number (no) no.334(VLD), no.335(DC) 
Page pp.77-82 
#Pages 6 
Date of Issue 2018-11-28 (VLD, DC) 

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