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Paper Abstract and Keywords
Presentation 2022-05-12 14:20
Distributed Network Intrusion Detection System Using Federated Learning
Yuya Tsuru, Tomoya Kawakami, Tatsuhito Hasegawa (Univ. of Fukui) CQ2022-5
Abstract (in Japanese) (See Japanese page) 
(in English) A network-based intrusion detection system (NIDS) monitors a network and detects unauthorized traffic. Currently, a variety of research has been studied on NIDS, and machine learning has attracted much attention for performance improvement. However, the generalization performance of the trained model on a single organization is limited because it also has a limitation for the amount of data and features. In this paper, we propose a distributed NIDS using federated learning to preserve data privacy. The simulation results showed that the proposed system can achieve high accuracy with privacy protection.
Keyword (in Japanese) (See Japanese page) 
(in English) NIDS / machine learning / information security / privacy protection / network monitoring / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 15, CQ2022-5, pp. 20-25, May 2022.
Paper # CQ2022-5 
Date of Issue 2022-05-05 (CQ) 
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 CQ2022-5

Conference Information
Committee CQ CS  
Conference Date 2022-05-12 - 2022-05-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukui (Fuku Pref.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2022-05-CQ-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distributed Network Intrusion Detection System Using Federated Learning 
Sub Title (in English)  
Keyword(1) NIDS  
Keyword(2) machine learning  
Keyword(3) information security  
Keyword(4) privacy protection  
Keyword(5) network monitoring  
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1st Author's Name Yuya Tsuru  
1st Author's Affiliation University of Fukui (Univ. of Fukui)
2nd Author's Name Tomoya Kawakami  
2nd Author's Affiliation University of Fukui (Univ. of Fukui)
3rd Author's Name Tatsuhito Hasegawa  
3rd Author's Affiliation University of Fukui (Univ. of Fukui)
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Speaker Author-2 
Date Time 2022-05-12 14:20:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2022-5 
Volume (vol) vol.122 
Number (no) no.15 
Page pp.20-25 
#Pages
Date of Issue 2022-05-05 (CQ) 


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