NDLI: Towards Fast Detecting Intrusions: Using Key Attributes of Network Traffic

Content Provider	IEEE Xplore Digital Library
Author	Wei Wang Gombault, S. Guyet, T.
Copyright Year	2008
Description	Author affiliation: Dream Team, IRISA, Rennes (Wei Wang)
Abstract	Extracting attributes from network traffic is the first step of network intrusion detection. However, the question of what attributes are most effective for the detection still remains. In this paper, we employed information gain, wrapper with Bayesian networks (BN) and decision trees (C4.5) respectively to select key subsets of attributes for network intrusion detection based on KDD Cup 1999 data. We then used the selected 10 attributes to detect DDoS attacks in the real environments. The empirical results based on KDD Cup 1999 data as well as DDoS attack data show that only using the 10 attributes, the detection accuracy almost remains the same or even becomes better compared with that of using all the 41 attributes with both BN and C4.5 classifiers. Using a small subset of attributes also improves the efficiency of intrusion detection.
Starting Page	86
Ending Page	91
File Size	232123
Page Count	6
File Format	PDF
ISBN	9780769531892
DOI	10.1109/ICIMP.2008.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-29
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Bayesian methods Intrusion detection Information security Telecommunication traffic Traffic control Data mining Decision trees Computer crime Monitoring
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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