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Paper Abstract and Keywords
Presentation 2022-07-04 10:40
Deep Learning Side-Channel Attacks for Rolled Architecture of PRINCE and Midori128
Shu Takemoto, Yoshiya Ikezaki, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2022-3
Abstract (in Japanese) (See Japanese page) 
(in English) With the recent expansion of small autonomous mobile robots such as drones, cyber security for small devices is very important. PRINCE and Midori128 have been proposed as typical low-power block ciphers for small devices. On the other hand, side-channel attacks have been reported to illegally analyze secret keys by using power consumption during cryptographic device operation. As the accuracy of deep neural networks improves, the technology is also being used in the security field. Deep Learning Side-Channel Attack (DL-SCA), a method for efficiently analyzing side-channel attacks using deep learning, has been proposed. For secure implementation of PRINCE and Midori128, it is important to evaluate tamper-resistance to DL-SCA. Therefore, This study evaluates the tamper-resistance of DL-SCA for PRINCE and Midori128, which are loop architecture implementations on Field Programmable Gate Array (FPGA).
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Hardware Security / Lightweight Block Cipher / Side-Channel Attack / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 94, AI2022-3, pp. 13-18, July 2022.
Paper # AI2022-3 
Date of Issue 2022-06-27 (AI) 
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 AI2022-3

Conference Information
Committee AI  
Conference Date 2022-07-04 - 2022-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2022-07-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning Side-Channel Attacks for Rolled Architecture of PRINCE and Midori128 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Hardware Security  
Keyword(3) Lightweight Block Cipher  
Keyword(4) Side-Channel Attack  
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1st Author's Name Shu Takemoto  
1st Author's Affiliation Meijo University (Meijo Univ.)
2nd Author's Name Yoshiya Ikezaki  
2nd Author's Affiliation Meijo University (Meijo Univ.)
3rd Author's Name Yusuke Nozaki  
3rd Author's Affiliation Meijo University (Meijo Univ.)
4th Author's Name Masaya Yoshikawa  
4th Author's Affiliation Meijo University (Meijo Univ.)
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Speaker Author-1 
Date Time 2022-07-04 10:40:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2022-3 
Volume (vol) vol.122 
Number (no) no.94 
Page pp.13-18 
#Pages 6 
Date of Issue 2022-06-27 (AI) 

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