Paper Abstract and Keywords |
Presentation |
2023-07-24 14:00
Non-profiled Side-channel Attacks by using Clustering Scores in Deep Learning model (1)
-- Attacks by using Auto Encoder against hardware-implemented AES -- Mizuki Nagahisa, Fukuda Yuta, Yoshida Kota, Fujino Takeshi (Ristumei Univ) ISEC2023-14 SITE2023-8 BioX2023-17 HWS2023-14 ICSS2023-11 EMM2023-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In 2019, Differential Deep Learning Analysis (DDLA) was proposed as a deep-learning based side-channel attack in non-profiled scenario.
DDLA need to train a deep learning model corresponding to candidate key and every byte, which requires a high computational cost.
In SCIS2023, we proposed a non-profiled DL-SCA based on cluster analysis of latent variables on an auto encoder (AE) which is trained by inputting power consumption waveforms acquired from software-implementationed AES. We demonstrated that all key bytes can be revealed in 1/500 times faster than DDLA.
In this paper, we report the results of non-profiled DL-SCA with AE against hardware-implemented AES, where all the key bytes are successfully revealed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Side Channel Analysis / Deep-Learning / Non-Profiling / Auto Encoder / Hardware-implemented AES / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 132, HWS2023-14, pp. 1-6, July 2023. |
Paper # |
HWS2023-14 |
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) |
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ISEC2023-14 SITE2023-8 BioX2023-17 HWS2023-14 ICSS2023-11 EMM2023-14 |
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) |
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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) |
Non-profiled Side-channel Attacks by using Clustering Scores in Deep Learning model (1) |
Sub Title (in English) |
Attacks by using Auto Encoder against hardware-implemented AES |
Keyword(1) |
Side Channel Analysis |
Keyword(2) |
Deep-Learning |
Keyword(3) |
Non-Profiling |
Keyword(4) |
Auto Encoder |
Keyword(5) |
Hardware-implemented AES |
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1st Author's Name |
Mizuki Nagahisa |
1st Author's Affiliation |
Ritsumei University (Ristumei Univ) |
2nd Author's Name |
Fukuda Yuta |
2nd Author's Affiliation |
Ritsumei University (Ristumei Univ) |
3rd Author's Name |
Yoshida Kota |
3rd Author's Affiliation |
Ritsumei University (Ristumei Univ) |
4th Author's Name |
Fujino Takeshi |
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Ritsumei University (Ristumei Univ) |
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Speaker |
Author-1 |
Date Time |
2023-07-24 14:00:00 |
Presentation Time |
20 minutes |
Registration for |
HWS |
Paper # |
ISEC2023-14, SITE2023-8, BioX2023-17, HWS2023-14, ICSS2023-11, EMM2023-14 |
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.1-6 |
#Pages |
6 |
Date of Issue |
2023-07-17 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
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