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Paper Abstract and Keywords
Presentation 2023-07-24 14:40
Improving Non-profiled DL-based Side-Channel Attack Using Multiple Partial Key Difference Estimation
Rikuma Tanaka, Rei Ueno (Tohoku Univ.), Akira Ito (NTT), Naofumi Homma (Tohoku Univ.) ISEC2023-16 SITE2023-10 BioX2023-19 HWS2023-16 ICSS2023-13 EMM2023-16
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a method of improving Non-profiled Deep-Learning Side-Channel Attack (DL-SCA) of AES. The previous methods train an Neural Network (NN) to estimate plaintext using side-channel traces of the 1st byte S-box operation in the 1st round of target implementation and estimate the difference of partial keys between the 1st byte to other 15 bytes (the 2nd--16th bytes) from side-channel traces of the 2nd--16th byte S-box operations using pre-trained NN. The previous method uses only the 1st-byte side-channel traces for NN training and does not use the 2nd--16th bytes side-channel traces effectively. In the proposed method, we improve the attack performance by performing NN training 16 times using not only the 1st byte but also the other 2nd--16th byte side-channel traces and estimating the difference of partial keys using each pre-trained NN. We confirm the advantage of the proposed method in comparison with the previous ones through actual experiments.
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Reference Info. IEICE Tech. Rep., vol. 123, no. 132, HWS2023-16, pp. 13-18, July 2023.
Paper # HWS2023-16 
Date of Issue 2023-07-17 (ISEC, SITE, BioX, HWS, ICSS, EMM) 
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 ISEC2023-16 SITE2023-10 BioX2023-19 HWS2023-16 ICSS2023-13 EMM2023-16

Conference Information
Committee EMM BioX ISEC SITE ICSS HWS IPSJ-CSEC IPSJ-SPT 
Conference Date 2023-07-24 - 2023-07-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Jichiro Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HWS 
Conference Code 2023-07-EMM-BioX-ISEC-SITE-ICSS-HWS-CSEC-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Non-profiled DL-based Side-Channel Attack Using Multiple Partial Key Difference Estimation 
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1st Author's Name Rikuma Tanaka  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Rei Ueno  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Akira Ito  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Naofumi Homma  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2023-07-24 14:40:00 
Presentation Time 20 minutes 
Registration for HWS 
Paper # ISEC2023-16, SITE2023-10, BioX2023-19, HWS2023-16, ICSS2023-13, EMM2023-16 
Volume (vol) vol.123 
Number (no) no.129(ISEC), no.130(SITE), no.131(BioX), no.132(HWS), no.133(ICSS), no.134(EMM) 
Page pp.13-18 
#Pages 6 
Date of Issue 2023-07-17 (ISEC, SITE, BioX, HWS, ICSS, EMM) 

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