NDLI: Intrusion detection system based on new association rule mining model

Content Provider	IEEE Xplore Digital Library
Author	Tian-rui Li Wu-ming Pan
Copyright Year	2005
Description	Author affiliation: Dept. of Math., Southwest Jiaotong Univ., Chengdu, China (Tian-rui Li)
Abstract	Intrusion detection is a problem of great significance to protecting information systems security. Its techniques fall into two general categories: anomaly detection and misuse detection, which complement each other. This research focuses on anomaly detection techniques for intrusion detection. Presently, several approaches based on classical association rule mining have been proposed for intrusion detection. Because two shortages existed in classical association rule mining problem, namely every item set is treated equivalently and a uniform minimum support and minimum confidence is used as weighing standard, many rules and uninteresting rules will be generated that causes low effectiveness of intrusion detection. Based on new association rule mining model proposed by Li etc. (2002) that can solve the two shortages at the same time, a new intrusion detection system was proposed. Because the interest of item as a degree is used and the mining algorithm is based on FP-tree, our preliminary experiment results show that the proposed system is more robust and efficient than that based on APRIORI.
Sponsorship	IEEE Comput. Intelligence Soc
Starting Page	512
Ending Page	515
File Size	696497
Page Count	4
File Format	PDF
ISBN	0780390172
DOI	10.1109/GRC.2005.1547344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Itemsets Association rule Intrusion detection Hidden Markov models Information security Network security Computer networks Spatial databases Association rules Data mining Protection Information systems
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
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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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