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Paper Abstract and Keywords
Presentation 2017-06-19 11:40
An Implementation Method of Reconfigurable Network Intrusion Detection Systems Based on Random Forests
Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an implementation method of reconfigurable network intrusion detection system based on random forest. Our
target NIDSs are based on random forests, and detect suspicious packets by checking incoming packets
against statistical data of past intrusions using random forests. Since the statistical data is updated
frequently, a programmable architecture is required.
In our proposal, random forests are converted into
VEVBDDs, and they are implemented by a memory-
based architecture. The proposed programmable architecture can update the data quickly by just rewriting contents of memories. FPGA implementation results show that the proposed architecture requires up
to about 38% smaller memory size and 36% shorter
delay time, compared to the straightforward implementation of random forests. Compared to a software
implementation, the proposed architecture achieves up
to 25 times higher throughput.
Keyword (in Japanese) (See Japanese page) 
(in English) Random Forests / Reconfigurable / Network Intrusion Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 97, VLD2017-10, pp. 37-42, June 2017.
Paper # VLD2017-10 
Date of Issue 2017-06-12 (CAS, VLD, SIP, MSS) 
ISSN Print edition: ISSN 0913-5685    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 CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7

Conference Information
Committee SIP CAS MSS VLD  
Conference Date 2017-06-19 - 2017-06-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata University, Ikarashi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To VLD 
Conference Code 2017-06-SIP-CAS-MSS-VLD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Implementation Method of Reconfigurable Network Intrusion Detection Systems Based on Random Forests 
Sub Title (in English)  
Keyword(1) Random Forests  
Keyword(2) Reconfigurable  
Keyword(3) Network Intrusion Detection  
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1st Author's Name Binbin Xue  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Shinobu Nagayama  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Masato Inagi  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Shin'ichi Wakabayashi  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2017-06-19 11:40:00 
Presentation Time 20 minutes 
Registration for VLD 
Paper # CAS2017-7, VLD2017-10, SIP2017-31, MSS2017-7 
Volume (vol) vol.117 
Number (no) no.96(CAS), no.97(VLD), no.98(SIP), no.99(MSS) 
Page pp.37-42 
#Pages 6 
Date of Issue 2017-06-12 (CAS, VLD, SIP, MSS) 

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