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Paper Abstract and Keywords
Presentation 2024-01-25 16:10
[Poster Presentation] Analyzing Cybersecurity Datasets -- Enhancing Security throughout the Data Life Cycle --
Chidchanok Choksuchat, Sorawit Khamnaewnak, Siwakorn Kasikam, Chanin Maiprom, Suwimon Bureekarn (PSU) IA2023-63
Abstract (in Japanese) (See Japanese page) 
(in English) Our study identifies and prevents threats in real-time, particularly focusing on the publishing stage of the data lifecycle, utilizing data analytics and machine learning. Because contemporary cybersecurity threats in higher education research necessitate advanced strategies beyond traditional measures. We delve into the Common Vulnerabilities and Exposures (CVE) offering a standardized approach to identify, assess, and prioritize risks by analyzing datasets like CVE file patterns. We utilized three machine learning models and evaluated with F1-score. In further work, we will provide a comprehensive framework for enhancing the security posture, improving incident response, and ensuring robust cybersecurity in higher education and beyond.
Keyword (in Japanese) (See Japanese page) 
(in English) Cybersecurity Threats / Data Analytics / Machine Learning / Common Vulnerability Scoring System (CVSS) / Incident Response / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 372, IA2023-63, pp. 37-39, Jan. 2024.
Paper # IA2023-63 
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)
Download PDF IA2023-63

Conference Information
Committee IA  
Conference Date 2024-01-25 - 2024-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kwansei Gakuin Univiversity, Marunouchi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sensor Network, IoT, M2M, etc., and IA2023 - Workshop on Internet Architecture and Applications 2023 
Paper Information
Registration To IA 
Conference Code 2024-01-IA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analyzing Cybersecurity Datasets 
Sub Title (in English) Enhancing Security throughout the Data Life Cycle 
Keyword(1) Cybersecurity Threats  
Keyword(2) Data Analytics  
Keyword(3) Machine Learning  
Keyword(4) Common Vulnerability Scoring System (CVSS)  
Keyword(5) Incident Response  
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Keyword(7)  
Keyword(8)  
1st Author's Name Chidchanok Choksuchat  
1st Author's Affiliation Prince of Songkla University (PSU)
2nd Author's Name Sorawit Khamnaewnak  
2nd Author's Affiliation Prince of Songkla University (PSU)
3rd Author's Name Siwakorn Kasikam  
3rd Author's Affiliation Prince of Songkla University (PSU)
4th Author's Name Chanin Maiprom  
4th Author's Affiliation Prince of Songkla University (PSU)
5th Author's Name Suwimon Bureekarn  
5th Author's Affiliation Prince of Songkla University (PSU)
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Speaker Author-1 
Date Time 2024-01-25 16:10:00 
Presentation Time 30 minutes 
Registration for IA 
Paper # IA2023-63 
Volume (vol) vol.123 
Number (no) no.372 
Page pp.37-39 
#Pages 3 
Date of Issue 2024-01-18 (IA) 

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