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| Presentation | 2022-07-19 14:15 A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.)  ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | To reduce the number of traces for evaluating side-channel attack (SCA) resistance, some methods for performing correlation power analysis (CPA) using a plaintext set that produces high-SNR side-channel leakage traces were proposed. The correlation coefficient obtained by such a selected-plaintext set can determine the presence or absence of leakage and the timing of leakage. However, it cannot be determined whether the correlation coefficient obtained under each evaluation condition is larger or smaller than the required level, and how much the leakage level is insufficient. We examined a method for estimating the correlation coefficient in a random plaintext set from the correlation coefficient obtained in the selected plaintext set. For estimation, we first assumed the SC leakage in a linear leakage model and derived a theoretical formula to estimate the correlation coefficient of all bytes of a random plaintext set from the correlation coefficient of the selected plaintext set. Next, we derived a theoretical formula to convert the correlation coefficient of all bytes into the correlation coefficient of each byte. This time, we measured power SC leakage at multiple measurement ports on the printed circuit board on which the AES circuit without SCA countermeasure was implemented on FPGA. Then, we were able to confirme that the derived theoretical formulas were valid. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | side-channel attack / correlation power analysis / AES / resistance prediction / selected-plaintext set / reduction of the number of plaintext / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 125, HWS2022-10, pp. 18-22, July 2022. | |
| Paper # | HWS2022-10 | |
| Date of Issue | 2022-07-12 (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) | |
| Download PDF | ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18 |
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| Conference Information | |
| Committee | EMM BioX ISEC SITE ICSS HWS IPSJ-CSEC IPSJ-SPT |
| Conference Date | 2022-07-19 - 2022-07-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | HWS |
| Conference Code | 2022-07-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) | A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model |
| Sub Title (in English) | |
| Keyword(1) | side-channel attack |
| Keyword(2) | correlation power analysis |
| Keyword(3) | AES |
| Keyword(4) | resistance prediction |
| Keyword(5) | selected-plaintext set |
| Keyword(6) | reduction of the number of plaintext |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masaki Himuro |
| 1st Author's Affiliation | Okayama University (Okayama Univ.) |
| 2nd Author's Name | Kengo Iokibe |
| 2nd Author's Affiliation | Okayama University (Okayama Univ.) |
| 3rd Author's Name | Yoshitaka Toyota |
| 3rd Author's Affiliation | Okayama University (Okayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-07-19 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | HWS |
| Paper # | ISEC2022-10, SITE2022-14, BioX2022-35, HWS2022-10, ICSS2022-18, EMM2022-18 |
| Volume (vol) | vol.122 |
| Number (no) | no.122(ISEC), no.123(SITE), no.124(BioX), no.125(HWS), no.126(ICSS), no.127(EMM) |
| Page | pp.18-22 |
| #Pages | 5 |
| Date of Issue | 2022-07-12 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
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