Paper Abstract and Keywords |
Presentation |
2021-07-20 14:50
Deep Learning Side-Channel Attacks against Unprotected AES and RSM-AES Implemented in ASIC Yuta Fukuda, Kota Yoshida, Hisashi Hashimoto, Takeshi Fujino (Ritsumeikan Univ.) ISEC2021-24 SITE2021-18 BioX2021-25 HWS2021-24 ICSS2021-29 EMM2021-29 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The cryptographic key can be revealed by exploiting side-channel information such as power traces under operation.
Recently, deep learning side-channel attacks (DL-SCA) have been actively studied.
The XORed model using register transition is used for DL-SCA against a hardware-implemented AES circuits.
However, partial keys on 0, 4, 8, and 12 bytes cannot be revealed by simply applying the XORed model because of data imbalance problems.
To resolve this problem, we propose a new method called “random key models” where power traces with random keys are used as DL training data.
In our experiments, we demonstrated that all partial keys are successfully revealed against unprotected AES and RSM-AES circuits implemented in ASICs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
side-channel attack / deep learning / random keys / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 121, HWS2021-24, pp. 86-91, July 2021. |
Paper # |
HWS2021-24 |
Date of Issue |
2021-07-12 (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) |
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ISEC2021-24 SITE2021-18 BioX2021-25 HWS2021-24 ICSS2021-29 EMM2021-29 |
Conference Information |
Committee |
BioX ISEC SITE ICSS EMM HWS IPSJ-CSEC IPSJ-SPT |
Conference Date |
2021-07-19 - 2021-07-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
HWS |
Conference Code |
2021-07-BioX-ISEC-SITE-ICSS-EMM-HWS-CSEC-SPT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Deep Learning Side-Channel Attacks against Unprotected AES and RSM-AES Implemented in ASIC |
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side-channel attack |
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deep learning |
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random keys |
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1st Author's Name |
Yuta Fukuda |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Kota Yoshida |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Hisashi Hashimoto |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
4th Author's Name |
Takeshi Fujino |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-07-20 14:50:00 |
Presentation Time |
25 minutes |
Registration for |
HWS |
Paper # |
ISEC2021-24, SITE2021-18, BioX2021-25, HWS2021-24, ICSS2021-29, EMM2021-29 |
Volume (vol) |
vol.121 |
Number (no) |
no.118(ISEC), no.119(SITE), no.120(BioX), no.121(HWS), no.122(ICSS), no.123(EMM) |
Page |
pp.86-91 |
#Pages |
6 |
Date of Issue |
2021-07-12 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
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