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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HWS2022-3 |
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) |
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Side-Channel Attack |
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Deep-Learning |
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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 |
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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 |
6 |
Date of Issue |
2022-04-19 (HWS) |
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