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| Presentation | 2021-11-12 14:50 A Study of Deep Learning based Side-Channel Analysis on Lightweight Cryptography GIMLI-AEAD Keigo Ito, Akira Ito, Rei Ueno (Tohoku Univ.), Kazuhide Fukushima, Shinsaku Kiyomoto (KDDI Research Inc.), Naofumi Homma (Tohoku Univ.)  ISEC2021-45 SITE2021-39 LOIS2021-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we describe a side-channel analysis for the lightweight cipher Gimli-AEAD. In particular, we apply a Deep-Learning based Side-Channel Analysis (DL-SCA) to Gimli-Initialization, and show that the key value can be revealed in each round. Gimli uses a unique substitution function, called Gimli substitution, for the nonlinear transformation, and the nonlinearity per round is much weaker than that of block ciphers such as AES and Present. The applicability of side-channel analysis to such ciphers with less nonlinearity is unknown. In this paper, we propose a method to estimate the intermediate values of Gimli-AEAD from the 1st round to the following rounds step by step using DL-SCA. We show that the proposed method can reveal the entire intermediate value of Gimli and recover the secret information in the case that the lower 16 bits of the nonce are changed in the analysis up to the 6th round. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Side-Channel Analysis / Deep-Learning / Lightweight Cryptography / Gimli / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 239, ISEC2021-45, pp. 20-25, Nov. 2021. | |
| Paper # | ISEC2021-45 | |
| Date of Issue | 2021-11-05 (ISEC, SITE, LOIS) | |
| 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 | ISEC2021-45 SITE2021-39 LOIS2021-28 |
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| Conference Information | |
| Committee | SITE ISEC LOIS |
| Conference Date | 2021-11-12 - 2021-11-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ISEC |
| Conference Code | 2021-11-SITE-ISEC-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Deep Learning based Side-Channel Analysis on Lightweight Cryptography GIMLI-AEAD |
| Sub Title (in English) | |
| Keyword(1) | Side-Channel Analysis |
| Keyword(2) | Deep-Learning |
| Keyword(3) | Lightweight Cryptography |
| Keyword(4) | Gimli |
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| 1st Author's Name | Keigo Ito |
| 1st Author's Affiliation | Research Institute of Electrical Communication, Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Akira Ito |
| 2nd Author's Affiliation | Research Institute of Electrical Communication, Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Rei Ueno |
| 3rd Author's Affiliation | Research Institute of Electrical Communication, Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Kazuhide Fukushima |
| 4th Author's Affiliation | KDDI Reseach Inc. (KDDI Research Inc.) |
| 5th Author's Name | Shinsaku Kiyomoto |
| 5th Author's Affiliation | KDDI Reseach Inc. (KDDI Research Inc.) |
| 6th Author's Name | Naofumi Homma |
| 6th Author's Affiliation | Research Institute of Electrical Communication, Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-11-12 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | ISEC |
| Paper # | ISEC2021-45, SITE2021-39, LOIS2021-28 |
| Volume (vol) | vol.121 |
| Number (no) | no.239(ISEC), no.240(SITE), no.241(LOIS) |
| Page | pp.20-25 |
| #Pages | 6 |
| Date of Issue | 2021-11-05 (ISEC, SITE, LOIS) |
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