Paper Abstract and Keywords |
Presentation |
2024-01-25 16:40
[Poster Presentation]
Strengthening Cybersecurity with Data Analytics
-- A Web Tool for Secure Exploration of CVE Data -- Chidchanok Choksuchat, Sorawit Khamnaewnak, Chanin Maiprom, Suwimon Bureekarn, Touchai Angchuan, Sinchai Kamonphiwong, Thossaporn Kamolphiwong (PSU) IA2023-68 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the realm of Higher Education, the sophistication of cyberattacks necessitates a departure from traditional security measures. The proactive use of data analytics and automated machine learning to dissect historical cyberattacks stands out as an innovative defense. These advanced methodologies are represented to detect underlying patterns and malicious behaviors, establishing a substantial protective barrier. The creation of a web tool for examining Common Vulnerabilities and Exposures (CVE) data enables thorough, secure analysis while upholding data privacy. This strategy not only fortifies cybersecurity but also adheres to privacy regulations, presenting an all-encompassing safeguard for academic institutions. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Cybersecurity / Data Analytics / Automated Exploratory Data Analysis / Common Vulnerabilities and Exposures (CVE) / Anonymization / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 372, IA2023-68, pp. 48-51, Jan. 2024. |
Paper # |
IA2023-68 |
Date of Issue |
2024-01-18 (IA) |
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) |
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IA2023-68 |
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