NDLI: Neural Network Ensembles for Intrusion Detection

Content Provider	IEEE Xplore Digital Library
Author	Golovko, V. Kachurka, P. Vaitsekhovich, L.
Copyright Year	2007
Description	Author affiliation: Brest State Tech. Univ., Brest (Golovko, V.; Kachurka, P.; Vaitsekhovich, L.)
Abstract	The major problem of existing models is recognition of new attacks, low accuracy, detection time and system adaptability. In this paper the method of recognition of attack class on the basis of the analysis of the network traffic is described. Our first approach is based on combination principal component analysis (PCA) neural networks and multilayer perceptrons (MLP). The second approach performs recognition of a class of attack by means of the cumulative classifier with nonlinear recirculation neural networks (RNN) as private detectors. The proposed approaches are tested using KDD-99 dataset. The experimental results demonstrate that the designed models are promising in terms of accuracy and computational time for real world intrusion detection.
Starting Page	578
Ending Page	583
File Size	158548
Page Count	6
File Format	PDF
ISBN	9781424413478
DOI	10.1109/IDAACS.2007.4488487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-06
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Intrusion detection Principal component analysis Telecommunication traffic Traffic control Multi-layer neural network Multilayer perceptrons Recurrent neural networks Detectors Testing recirculation networks neural networks intrusion detection PCA MLP
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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