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| Presentation | 2021-10-19 10:25 A Deep-Learning Based Single-Trace Side-Channel Attack on Tamper-Resistant CRT-RSA Software Kotaro Saito, Akira Ito, Rei Ueno, Naofumi Homma (Tohoku Univ.)  HWS2021-42 ICD2021-16 Link to ES Tech. Rep. Archives: ICD2021-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a deep-learning based single-trace side-channel attack on CRT-RSA software implementation secure against simple power analysis (SPA).We focus on a CRT-RSA implementation with an open-source software library named Gnu MP, which employs the fixed window (FW) exponentiation with a hiding countermeasure based on a dummy load for the sake of SPA resistance. The FW exponentiation is known as the fastest, constant-time, and SPA-resistant modular exponentiation algorithm. In addition, dummy load in selecting a multiplicand is utilized to mitigate more sophisticated power analysis/cache attacks. We propose a novel single-trace power analysis attack on the basis of deep learning to estimate the secret exponents from FW exponentiation exploiting dummy load with a convincing accuracy. Furthermore, we extend the partial key exposure attack on CRT-RSA such that it can exploit the feature of key exposure estimated by the above analysis. We experimentally demonstrate that secret keys of the CRT-RSA can be easily recovered even when the estimated exponents contain some errors. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Side-Channel Attack / Deep-Learning / CRT-RSA / Partial Key Exposure Attack / Gnu MP / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 206, HWS2021-42, pp. 7-12, Oct. 2021. | |
| Paper # | HWS2021-42 | |
| Date of Issue | 2021-10-12 (HWS, ICD) | |
| 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 | HWS2021-42 ICD2021-16 Link to ES Tech. Rep. Archives: ICD2021-16 |
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| Conference Information | |
| Committee | HWS ICD |
| Conference Date | 2021-10-19 - 2021-10-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Hardware Security, etc. |
| Paper Information | |
| Registration To | HWS |
| Conference Code | 2021-10-HWS-ICD |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Deep-Learning Based Single-Trace Side-Channel Attack on Tamper-Resistant CRT-RSA Software |
| Sub Title (in English) | |
| Keyword(1) | Side-Channel Attack |
| Keyword(2) | Deep-Learning |
| Keyword(3) | CRT-RSA |
| Keyword(4) | Partial Key Exposure Attack |
| Keyword(5) | Gnu MP |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kotaro Saito |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Akira Ito |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Rei Ueno |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Naofumi Homma |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-10-19 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | HWS |
| Paper # | HWS2021-42, ICD2021-16 |
| Volume (vol) | vol.121 |
| Number (no) | no.206(HWS), no.207(ICD) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2021-10-12 (HWS, ICD) |
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