NDLI: An improved feature selection algorithm based on MAHALANOBIS distance for Network Intrusion Detection

Content Provider	IEEE Xplore Digital Library
Author	Zhao Yongli Zhang Yungui Tong Weiming Chen Hongzhi
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China (Tong Weiming) \|\| State Key Lab. of Hybrid Process Ind., Autom. Res. & Design Inst. of Metall. Ind., Beijing, China (Zhao Yongli; Zhang Yungui; Chen Hongzhi)
Abstract	Network Intrusion Detection System (NIDS) plays an important role in providing network security. Efficient NIDS can be developed by defining a proper rule set for classifying network audit data into normal or attack patterns. Generally, each dataset is characterized by a large set of features, but not all features will be relevant or fully contribute identifying an attack. Since different attacks need different subsets to have better detection accuracy, this paper describes an improved feature selection algorithm to identify most appropriate subset of features for a certain attack. The proposed method is based on MAHALANOBIS Distance feature ranking and an improved exhaustive search to choose a better combination of features. We evaluate the approach on the KDD CUP 1999 datasets using SVM classifier and KNN classifier. The results show that classification is done with high classification rate and low misclassification rate with the reduced feature subsets.
Sponsorship	IEEE Harbin Sect.
Starting Page	69
Ending Page	73
File Size	762692
Page Count	5
File Format	PDF
ISBN	9781467364522
e-ISBN	9781467364539
DOI	10.1109/SNS-PCS.2013.6553837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Support vector machines Feature Selection MAHALANOBIS Distance Optimized production technology Intrusion detection Classification Feature extraction KNN Virtual private networks SVM Kernel
Content Type	Text
Resource Type	Article

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