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Paper Abstract and Keywords
Presentation 2020-12-15 10:50
Development of an Intrusion Detection System Utilizing Social Network Analysis Principles
James Lu, Yuji Sekiya (Univ. of Tokyo) IA2020-29
Abstract (in Japanese) (See Japanese page) 
(in English) As computer networks grow increasingly complex and cyberattacks become more sophisticated, better methods are needed to provide effective security. Intrusion detection systems (IDS) are a fundamental part of network security. One type of system is anomaly-based systems, which model normal network behavior to detect both known and unknown attacks. However, many approaches to anomaly-based systems utilize machine learning, which are costly to develop and operate. In this research, we propose a lightweight anomaly-based intrusion detection method based on social network analysis principals.
Keyword (in Japanese) (See Japanese page) 
(in English) cybersecurity / social network analysis / intrusion detection / anomaly / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 294, IA2020-29, pp. 18-21, Dec. 2020.
Paper # IA2020-29 
Date of Issue 2020-12-07 (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 IA2020-29

Conference Information
Committee IA IN  
Conference Date 2020-12-14 - 2020-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IA 
Conference Code 2020-12-IA-IN 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of an Intrusion Detection System Utilizing Social Network Analysis Principles 
Sub Title (in English)  
Keyword(1) cybersecurity  
Keyword(2) social network analysis  
Keyword(3) intrusion detection  
Keyword(4) anomaly  
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1st Author's Name James Lu  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Yuji Sekiya  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2020-12-15 10:50:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2020-29 
Volume (vol) vol.120 
Number (no) no.294 
Page pp.18-21 
#Pages 4 
Date of Issue 2020-12-07 (IA) 

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