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| Presentation | 2021-11-30 13:25 Predicting Vulnerability Discovery Processes in Support Periods for an Operating System Kento Kubota, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.)  R2021-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this note, we classify the severity level of software vulnerabilities founded in Debian Linux Version 8.0, which is an operating system, and make prediction of the number of software vulnerabilities detected during the support periods. We introduce seven kinds of Poisson processes, and use the maximum likelihood method and the Akaike information criterion (AIC) for the parameter estimation and model selection, respectively. Especially, we investigate the data availability of not only Version 8.0 data but also the older versions of Debian Linux in terms of the predictive performance. As a result, it is shown that the vulnerability prediction accuracy with multiple versions, 7.0, 6.0, 5.0 and 4.0, is better than that with single version data for the low-severity level, but the other cases for middle- and high-severity levels do not depend on the past version data to improve the prediction accuracy. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Software vulnerability / Vulnerability discovery process / Operating System / Support periods, / Poissonprocesses / Prediction / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 276, R2021-35, pp. 7-12, Nov. 2021. | |
| Paper # | R2021-35 | |
| Date of Issue | 2021-11-23 (R) | |
| 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 | R2021-35 |
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| Conference Information | |
| Committee | R |
| Conference Date | 2021-11-30 - 2021-11-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reliability of semiconductor and electronic devices, Reliability ge |
| Paper Information | |
| Registration To | R |
| Conference Code | 2021-11-R |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Vulnerability Discovery Processes in Support Periods for an Operating System |
| Sub Title (in English) | |
| Keyword(1) | Software vulnerability |
| Keyword(2) | Vulnerability discovery process |
| Keyword(3) | Operating System |
| Keyword(4) | Support periods, |
| Keyword(5) | Poissonprocesses |
| Keyword(6) | Prediction |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kento Kubota |
| 1st Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 2nd Author's Name | Tadashi Dohi |
| 2nd Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 3rd Author's Name | Hiroyuki Okamura |
| 3rd Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-11-30 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | R |
| Paper # | R2021-35 |
| Volume (vol) | vol.121 |
| Number (no) | no.276 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2021-11-23 (R) |
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