Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-09-09 14:05
A Machine Learning Based Network Intrusion Detection System with Appling Different Algorithms in Multiple Stages
Seiichi Sasa, Hiroyuki Suzuki, Akio Koyama (Yamagata Univ.) NS2021-63
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the rapid development of Information and Communication Technology (ICT) has led to the provision of a wide variety of network services. Along with this, the current situation is that cyber attacks that interfere with these services occur frequently and the damage is increasing. Therefore, there is a need to strengthen countermeasures against cyber-attacks and to minimize damage by responding quickly and with high accuracy. Therefore, in order to enhance security measures in network environments, a lot of research has been conducted to improve the performance of intrusion detection systems by applying machine learning to them. However, there are many false positives, and machine learning is not yet able to classify and detect them completely. In this study, we aimed to reduce the number of false positives by applying different machine learning algorithms to the intrusion detection system in multiple stages.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Cyber Attack / Intrusion Detection System / Security / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 170, NS2021-63, pp. 36-41, Sept. 2021.
Paper # NS2021-63 
Date of Issue 2021-09-02 (NS) 
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 NS2021-63

Conference Information
Committee IN NS CS NV  
Conference Date 2021-09-09 - 2021-09-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To NS 
Conference Code 2021-09-IN-NS-CS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Machine Learning Based Network Intrusion Detection System with Appling Different Algorithms in Multiple Stages 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Cyber Attack  
Keyword(3) Intrusion Detection System  
Keyword(4) Security  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Seiichi Sasa  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Hiroyuki Suzuki  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Akio Koyama  
3rd Author's Affiliation Yamagata University (Yamagata Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2021-09-09 14:05:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2021-63 
Volume (vol) vol.121 
Number (no) no.170 
Page pp.36-41 
#Pages 6 
Date of Issue 2021-09-02 (NS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan