NDLI: OC-WAD: A one-class classifier ensemble approach for anomaly detection in web traffic

Content Provider	IEEE Xplore Digital Library
Author	Parhizkar, E. Abadi, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran (Parhizkar, E.; Abadi, M.)
Abstract	In recent years, web-based attacks have made up a substantial portion of all security attacks because web-based vulnerabilities are so common and so easy to exploit. To counter these attacks, many anomaly detection systems have been proposed that are able to detect both known and unknown attacks launched against web-based applications. However, most of them suffer from a large number of false alarms. In this paper, we address this problem by presenting OC-WAD, a novel approach to construct an ensemble of one-class SVM classifiers for anomaly detection in web traffic. OC-WAD uses a novel binary artificial bee colony algorithm, called BeeSnips, to prune the initial ensemble of one-class SVM classifiers and to find a near-optimal sub-ensemble. It is motivated by the observation that the fusion of multiple one-class classifiers can considerably decrease the false alarm rate without a significant change in the detection rate. The results of experiments carried out on a real dataset show that OC-WAD can detect web-based attacks with a high detection rate and an acceptable false alarm rate.
Starting Page	631
Ending Page	636
File Size	660758
Page Count	6
File Format	PDF
e-ISBN	9781479919727
DOI	10.1109/IranianCEE.2015.7146291
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-10
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Electrical engineering Conferences Classifier ensemble Artificial bee colony algorithm Web-based attack One-class classifier Anomaly detection
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