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Paper Abstract and Keywords
Presentation 2018-11-03 11:30
A Study on a New Evaluation Tool for Pseudo Random Number Generators based on Neural Network
Hayato Kimura (Tokai Univ.), Takanori Isobe (Univ. of Hyogo), Toshihiro Ohigashi (Tokai Univ.) ISEC2018-65 SITE2018-43 LOIS2018-25
Abstract (in Japanese) (See Japanese page) 
(in English) Security of stream cipher depends on PRNG (Pseudo Random Number Generator) of the stream cipher. There are evaluation methods of PRNG, e.g. statical test tool for random number, automatic search for cryptanaly- sis. Since there methods evaluate known vulnerabilities of PRNG, the unknown vulnerability cannot be excluded. In this paper, we discuss the exhaustive vulnerability search method based on neural network for PRNG. Our method discovers the unknown vulnerability automatically by detecting differences between target PRNG’s pseudo random number and ideal random number using neural network. We apply our method to linear congruential generators and RC4. As the result, our proposed technique can detect feature of vulnerability in both linear congruential generators and RC4.
Keyword (in Japanese) (See Japanese page) 
(in English) stream cipher / machine learning / statical test for random number / NIST SP 800-22 / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 279, ISEC2018-65, pp. 7-12, Nov. 2018.
Paper # ISEC2018-65 
Date of Issue 2018-10-27 (ISEC, SITE, LOIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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Conference Information
Committee SITE ISEC LOIS  
Conference Date 2018-11-03 - 2018-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ISEC 
Conference Code 2018-11-SITE-ISEC-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on a New Evaluation Tool for Pseudo Random Number Generators based on Neural Network 
Sub Title (in English)  
Keyword(1) stream cipher  
Keyword(2) machine learning  
Keyword(3) statical test for random number  
Keyword(4) NIST SP 800-22  
1st Author's Name Hayato Kimura  
1st Author's Affiliation Tokai University (Tokai Univ.)
2nd Author's Name Takanori Isobe  
2nd Author's Affiliation University of Hyogo (Univ. of Hyogo)
3rd Author's Name Toshihiro Ohigashi  
3rd Author's Affiliation Tokai University (Tokai Univ.)
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Date Time 2018-11-03 11:30:00 
Presentation Time 30 
Registration for ISEC 
Paper # IEICE-ISEC2018-65,IEICE-SITE2018-43,IEICE-LOIS2018-25 
Volume (vol) IEICE-118 
Number (no) no.279(ISEC), no.280(SITE), no.281(LOIS) 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-ISEC-2018-10-27,IEICE-SITE-2018-10-27,IEICE-LOIS-2018-10-27 

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