NDLI: Research on Intrusion Detection System Based on IRBF

Content Provider	IEEE Xplore Digital Library
Author	Peng Yichun Niu Yi Hu Qiwei
Copyright Year	2012
Abstract	As an active and dynamic security-defense technique, intrusion detection can detect the interior and exterior attacks, and it plays an important role in assuring the network security. A radial basis function (RBF) neural network learning algorithm based on immune recognition algorithm which based on the clonal selection principle recognition principle was studied. In the algorithm, the input data was regarded as antigens, and antibodies are regarded as the hidden layer centers. The weights of the output layer are determined by adopting the Recursive least square method, which can improve convergence speed and precision of the RBF neural network. This algorithm was applied to Intrusion Detection Systems. Theory and experiment show that this algorithm has better ability in intrusion detection, and can be used to improve the efficiency of intrusion detection, reduce the false alarm rate.
Starting Page	544
Ending Page	548
File Size	187375
Page Count	5
File Format	PDF
ISBN	9781467347259
DOI	10.1109/CIS.2012.128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Intrusion Detection Heuristic algorithms Intrusion detection Cloning Radial basis function networks Immune Algorithm Clonal Selection Radial Basis Function Neural Network Immune system
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
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