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Paper Abstract and Keywords
Presentation 2024-10-26 14:45
CVE-Learn: Cybersecurity Study throughout the CVE Datasets for Learning Model-Based Processing
Chidchanok Choksuchat, Sorawit Khumnaewnak, Touchai Angchuan, Nattawut Wichit, Sinchai Kamolphiwong (PSU) IA2024-29
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous study, we gathered a dataset of daily Common Vulnerabilities and Exposures (CVEs) by scanning over 4,000 university subdomains. Each record contains over 30,000 rows, potentially accumulating millions of records annually. We collect this data weekly, making scalable monthly analysis challenging due to the limitations of local workstations without High-Performance Computing Infrastructure (HPCI). This research aims to test CVE analysis on HPCI, utilizing parallel processing in machine learning. Specifically, we compare accuracy and loss, along with validation of accuracy and loss, in deep neural networks (DNN) through the stages of model training and validation.
Keyword (in Japanese) (See Japanese page) 
(in English) CVE (Common Vulnerabilities and Exposures) / Cybersecurity / High-Performance Computing Infrastructure (HPCI) / Parallel Processing / Machine Learning / Neural Networks / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 225, IA2024-29, pp. 8-11, Oct. 2024.
Paper # IA2024-29 
Date of Issue 2024-10-19 (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 IA2024-29

Conference Information
Committee IA  
Conference Date 2024-10-26 - 2024-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University of Science and Technology (Taiwan) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IA2024 - Workshop on Internet Architecture and Applications 2024 
Paper Information
Registration To IA 
Conference Code 2024-10-IA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) CVE-Learn: Cybersecurity Study throughout the CVE Datasets for Learning Model-Based Processing 
Sub Title (in English)  
Keyword(1) CVE (Common Vulnerabilities and Exposures)  
Keyword(2) Cybersecurity  
Keyword(3) High-Performance Computing Infrastructure (HPCI)  
Keyword(4) Parallel Processing  
Keyword(5) Machine Learning  
Keyword(6) Neural Networks  
Keyword(7)  
Keyword(8)  
1st Author's Name Chidchanok Choksuchat  
1st Author's Affiliation Prince of Songkla University (PSU)
2nd Author's Name Sorawit Khumnaewnak  
2nd Author's Affiliation Prince of Songkla University (PSU)
3rd Author's Name Touchai Angchuan  
3rd Author's Affiliation Prince of Songkla University (PSU)
4th Author's Name Nattawut Wichit  
4th Author's Affiliation Prince of Songkla University (PSU)
5th Author's Name Sinchai Kamolphiwong  
5th Author's Affiliation Prince of Songkla University (PSU)
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Speaker Author-1 
Date Time 2024-10-26 14:45:00 
Presentation Time 20 minutes 
Registration for IA 
Paper # IA2024-29 
Volume (vol) vol.124 
Number (no) no.225 
Page pp.8-11 
#Pages 4 
Date of Issue 2024-10-19 (IA) 

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