Paper Abstract and Keywords |
Presentation |
2015-03-04 10:25
Estimation of Vulnerability Score based on Annual Analysis with Supervised Latent Dirichlet Allocation Yasuhiro Yamamoto, Daisuke Miyamoto, Masaya Nakayama (Tokyo Univ.) ICSS2014-79 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This research purpose is to determine technical scores of vulnerability by using machine learning methods in order to evaluate vulnerability quickly, for not rated vulnerability information. Vulnerability information datasets utilized in this research are databases composed of vulnerability descriptions and vulnerability risk evaluations. High precision of score prediction was aimed by to make evaluated value calculated from recent year's data high, and to make evaluated value calculated from past year's data low, from validation results of machine learning in training data of each year's data. As a result, higher precision than the value by just utilizing supervised latent Dirichlet allocation, was gained in 12 categories out of 18 categories. This result could enable quick vulnerability evaluation by determining scores of vulnerability in machine learning methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Security / Vulnerability / SLDA / CVE / CVSS / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 489, ICSS2014-79, pp. 97-102, March 2015. |
Paper # |
ICSS2014-79 |
Date of Issue |
2015-02-24 (ICSS) |
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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ICSS2014-79 |
Conference Information |
Committee |
ICSS |
Conference Date |
2015-03-03 - 2015-03-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Meio Univiersity |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Communication Security, etc. |
Paper Information |
Registration To |
ICSS |
Conference Code |
2015-03-ICSS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Estimation of Vulnerability Score based on Annual Analysis with Supervised Latent Dirichlet Allocation |
Sub Title (in English) |
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Keyword(1) |
Security |
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Vulnerability |
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SLDA |
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CVE |
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CVSS |
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1st Author's Name |
Yasuhiro Yamamoto |
1st Author's Affiliation |
The University of Tokyo (Tokyo Univ.) |
2nd Author's Name |
Daisuke Miyamoto |
2nd Author's Affiliation |
The University of Tokyo (Tokyo Univ.) |
3rd Author's Name |
Masaya Nakayama |
3rd Author's Affiliation |
The University of Tokyo (Tokyo Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-03-04 10:25:00 |
Presentation Time |
25 minutes |
Registration for |
ICSS |
Paper # |
ICSS2014-79 |
Volume (vol) |
vol.114 |
Number (no) |
no.489 |
Page |
pp.97-102 |
#Pages |
6 |
Date of Issue |
2015-02-24 (ICSS) |
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