NDLI: Evaluation and Comparison of Classification Techniques for Network Intrusion Detection

Content Provider	IEEE Xplore Digital Library
Author	Giray, S.M. Polat, A.G.
Copyright Year	2013
Description	Author affiliation: Comput. Eng. Dept., Middle East Tech. Univ. (METU), Ankara, Turkey (Giray, S.M.; Polat, A.G.)
Abstract	Data mining provides a useful environment and set of tools for processing large datasets such as Intrusion Detection Systems (IDS) logs. Researchers improve existing IDS models by comparing the performance of various algorithms on these datasets. It is very important to keep in mind that an IDS often has to work in a noisy network environment. Network noise is one of the most challenging issues for efficient threat detection and classification. In this study, normal and noisy datasets for network IDS domain are used and various classification algorithms are evaluated. The results show that an evaluation of algorithms without noise is misleading for IDSs since algorithms that perform best without noise do not necessarily achieve the same in a realistic noisy environment. Moreover refined NSL KDD dataset allows a more realistic evaluation of various algorithms than the original KDD 99 dataset.
Sponsorship	Toshiba
Starting Page	335
Ending Page	342
File Size	686500
Page Count	8
File Format	PDF
e-ISBN	9781479931422
DOI	10.1109/ICDMW.2013.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis anomaly identification Noise Intrusion detection false alarm classifier prediction Prediction algorithms Classification algorithms ignored attack Noise measurement
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