NDLI: Anomaly Based Intrusion Detection Using Hybrid Learning Approach of Combining k-Medoids Clustering and Naïve Bayes Classification

Content Provider	IEEE Xplore Digital Library
Author	Chitrakar, R. Huang Chuanhe
Copyright Year	2012
Description	Author affiliation: Sch. of Comput., Wuhan Univ., Wuhan, China (Chitrakar, R.; Huang Chuanhe)
Abstract	The role of Intrusion Detection System (IDS) has been inevitable in the area of Information and Network Security - specially for building a good network defense infrastructure. Anomaly based intrusion detection technique is one of the building blocks of such a foundation. In this paper, the attempt has been made to apply hybrid learning approach by combining k-Medoids based clustering technique followed by Naïve Bayes classification technique. Because of the fact that k-Medoids clustering techniques represent the real world scenario of data distribution, the proposed enhanced approach will group the whole data into corresponding clusters more accurately than kMeans such that it results in a better classification. An experiment is carried out in order to evaluate performance, accuracy, detection rate and false positive rate of the classification scheme. Results and analyses show that the proposed approach has enhanced.
Sponsorship	IEEE Antennas Propagation Soc.
Starting Page	1
Ending Page	5
File Size	265064
Page Count	5
File Format	PDF
ISBN	9781612846842
ISSN	21619654
e-ISBN	9781612846835
DOI	10.1109/WiCOM.2012.6478433
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Accuracy Clustering algorithms Intrusion detection Probability Classification algorithms Data mining
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
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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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