NDLI: Multi class support vector machine implementation to intrusion detection

Content Provider	IEEE Xplore Digital Library
Author	Ambwani, T.
Copyright Year	2003
Description	Author affiliation: K.K. Wagh Coll. of Eng., Univ. of Pune, Nashik, India (Ambwani, T.)
Abstract	Despite advances in security practices the threat to information assurance is on the rise. Due to the growing number of malicious usage, attacks, stealing of sensitive information and sabotage, information security has become one of the prime concerns for many governments as well as corporate organizations, the world over. There exists a constant need for improvement and innovation in detection of intrusions and adoption of efficient countermeasures against security breaches. In a new approach, this paper focuses on applying multi class support vector machine classifiers, using one-versus-one method, for anomalous as well as misuse detection to identify attacks precisely by type. Evaluation has been done over a benchmark dataset used in the Third Knowledge Discovery and Data mining competition (KDD'99). The results obtained are comparable to some of the best in the contest.
Sponsorship	Int. Neural Network Soc. IEEE Neural Networks Soc
Starting Page	2300
Ending Page	2305
File Size	529943
Page Count	6
File Format	PDF
ISBN	0780378989
ISSN	10987576
DOI	10.1109/IJCNN.2003.1223770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Intrusion detection Information security Government Technological innovation Data security Support vector machine classification Data mining Operating systems Educational institutions
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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