NDLI: Incremental SVM algorithm to intrusion detection base on boundary areas

Content Provider	IEEE Xplore Digital Library
Author	Qi Mu Yikun Chen Yongjun Zhang
Copyright Year	2012
Description	Author affiliation: School of Computer, Xi'an University of Science and Technology, China (Qi Mu; Yikun Chen; Yongjun Zhang)
Abstract	The B-ISVM method based on a fast incremental SVM is proposed in this paper for the low rate of intrusion detection and the slow detection speed of standard SVM method. The first step is to identify boundary areas, train screened boundary areas samples in order to construct the initial classification hyperplane. Then, the support vector is extracted effectively according to filtering factor. Finally, the construction of the incremental SVM classifier is completed through incremental learning based on KKT conditions. The experiment results show that the method could achieve the higher rate of intrusion detection and faster detection speed. Thus the proposed method is overall superior to the standard SVM and ISVM method in terms of classification performance.
Starting Page	198
Ending Page	201
File Size	250947
Page Count	4
File Format	PDF
ISBN	9781467301985
e-ISBN	9781467301992
DOI	10.1109/ICSAI.2012.6223447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Boundary areas Intrusion Detection Incremental Learning Incremental SVM Intrusion detection Clustering algorithms Classification algorithms Complexity theory Support Vector Machine(SVM) Standards
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	Mr. Siddhartha Mukherjee siddhartha@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
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