NDLI: An efficient feature selection method for distributed cyber attack detection and classification

Content Provider	IEEE Xplore Digital Library
Author	Hoa Dinh Nguyen Qi Cheng
Copyright Year	2011
Description	Author affiliation: School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA (Hoa Dinh Nguyen; Qi Cheng)
Abstract	Cyber attack has become a critical issue over the last decade. A number of cyber attack detection methods have been introduced with different levels of success. In this paper, a new feature selection algorithm for distributed cyber attack detection and classification is proposed. Different types of attacks together with the normal condition of the network are modeled as different classes of the network data. Binary classifiers are used at local sensors to distinguish each class from the rest. The proposed algorithm outputs for each local binary classifier a set of pairwise feature subsets which are selected for discriminating that particular class from each of the rest classes. This is different from conventional feature selection algorithms, which select a unique feature subset for each local binary classifier. The new feature selection method is shown to be more capable of selecting all relevant features, thus to improve the detection and classification accuracy. Furthermore, each feature subset tends to have a more compact size, which faciliates computation. The proposed method is evaluated using both a synthetic dataset and the KDD1999 intrusion detection datasets.
Starting Page	1
Ending Page	6
File Size	404580
Page Count	6
File Format	PDF
ISBN	9781424498468
e-ISBN	9781424498482
e-ISBN	9781424498475
DOI	10.1109/CISS.2011.5766239
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Variable speed drives Classification algorithms decision fusion Distributed cyber attack detection pairwise feature subset selection
Content Type	Text
Resource Type	Article

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