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Paper Abstract and Keywords
Presentation 2021-02-05 10:55
Hardware Trojan Detection by Learning Power Side Channel Signals Considering Random Process Variation
Michiko Inoue, Riaz-Ul-Haque Mian (NAIST) DC2020-70
Abstract (in Japanese) (See Japanese page) 
(in English) Due to the globalization and complexity of the supply chain, there is a growing concern about the insertion of hardware Trojan circuits into semiconductor integrated circuits.
In this paper, we propose a method to detect hardware Trojan circuits by learning side-channel signals.
The method uses a power Monte Carlo simulation with random process variation annotated delay information.
We propose a method to learn the dynamic power variation due to delay variation and to detect
the abnormal power value caused by hardware Trojan circuits.
Keyword (in Japanese) (See Japanese page) 
(in English) hardware Trojan circuit / random process variation / power analysis / outlier detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 358, DC2020-70, pp. 7-11, Feb. 2021.
Paper # DC2020-70 
Date of Issue 2021-01-29 (DC) 
ISSN 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 DC2020-70

Conference Information
Committee DC  
Conference Date 2021-02-05 - 2021-02-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DC 
Conference Code 2021-02-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hardware Trojan Detection by Learning Power Side Channel Signals Considering Random Process Variation 
Sub Title (in English)  
Keyword(1) hardware Trojan circuit  
Keyword(2) random process variation  
Keyword(3) power analysis  
Keyword(4) outlier detection  
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1st Author's Name Michiko Inoue  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Riaz-Ul-Haque Mian  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2021-02-05 10:55:00 
Presentation Time 25 minutes 
Registration for DC 
Paper # DC2020-70 
Volume (vol) vol.120 
Number (no) no.358 
Page pp.7-11 
#Pages 5 
Date of Issue 2021-01-29 (DC) 

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