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 |
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) |
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ISEC2018-65 SITE2018-43 LOIS2018-25 |
Conference Information |
Committee |
SITE ISEC LOIS |
Conference Date |
2018-11-03 - 2018-11-04 |
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(See Japanese page) |
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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) |
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Keyword(1) |
stream cipher |
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machine learning |
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statical test for random number |
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NIST SP 800-22 |
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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) |
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Toshihiro Ohigashi |
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Tokai University (Tokai Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-11-03 11:30:00 |
Presentation Time |
30 minutes |
Registration for |
ISEC |
Paper # |
ISEC2018-65, SITE2018-43, LOIS2018-25 |
Volume (vol) |
vol.118 |
Number (no) |
no.279(ISEC), no.280(SITE), no.281(LOIS) |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2018-10-27 (ISEC, SITE, LOIS) |
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