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Paper Abstract and Keywords
Presentation 2022-04-26 11:20
Deep Learning-based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication
Seiya Shimada, Kunihiro Kuroda, Yuta Fukuda, Kouta Yoshida, Takeshi Fujino (Ritsumeikan Univ.) HWS2022-3
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, deep learning-based side-channel attacks (DL-SCA) against symmetric key cryptography such as AES have been reported in many papers. However, there are few reports of attacks on public-key cryptography such as RSA, and the threat assessment of such attacks is insufficient. A simple side-channel attack countermeasure against software-implemented RSA based on the binary method is the dummy multiplication countermeasure. The dummy multiplication countermeasure is considered to be resistant to side-channel attacks because the exponent bit string cannot be identified by timing attacks nor simple power analysis (SPA). In this paper, we report that a deep learning classifier can discriminate between true multiplication and dummy multiplication with high accuracy and successfully reveal secret keys.
Keyword (in Japanese) (See Japanese page) 
(in English) Side-Channel Attack / Deep-Learning / RSA / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 11, HWS2022-3, pp. 13-18, April 2022.
Paper # HWS2022-3 
Date of Issue 2022-04-19 (HWS) 
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)
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Conference Information
Committee HWS  
Conference Date 2022-04-26 - 2022-04-26 
Place (in Japanese) (See Japanese page) 
Place (in English) AIST Tokyo Waterfront (Annex) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Hardware Security, etc. 
Paper Information
Registration To HWS 
Conference Code 2022-04-HWS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning-based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication 
Sub Title (in English)  
Keyword(1) Side-Channel Attack  
Keyword(2) Deep-Learning  
Keyword(3) RSA  
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1st Author's Name Seiya Shimada  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Kunihiro Kuroda  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Yuta Fukuda  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Kouta Yoshida  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
5th Author's Name Takeshi Fujino  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2022-04-26 11:20:00 
Presentation Time 25 minutes 
Registration for HWS 
Paper # HWS2022-3 
Volume (vol) vol.122 
Number (no) no.11 
Page pp.13-18 
#Pages
Date of Issue 2022-04-19 (HWS) 


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