Journal
INFORMATION SCIENCES
Volume 179, Issue 4, Pages 371-381Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2008.10.025
Keywords
Multiple criteria mathematical programming; Multi-class classification; Network intrusion detection; e-Support vector; Large scale data mining problem
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Funding
- Youth Fund of University of Electronic Science and Technology of China (UESTC)
- National Natural Science Foundation of China (NSFC) [70621001, 70531040, 70472074]
- Ministry of Science and Technology, China [2004CB720103]
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Multi-class classification problems are harder to solve and less studied than binary classification problems. The goal of this paper is to present a multi-criteria mathematical programming (MCMP) model for multi-class classification. Furthermore, we introduce the concept of e-support vector to facilitate computation of large-scale applications. Instead of finding the optimal Solution for a convex mathematical programming problem, the computation of optimal Solution for the model requires only matrix computation. Using two network intrusion datasets, we demonstrate that the proposed model can achieve both high classification accuracies and low false alarm rates for multi-class network intrusion classification. (C) 2008 Elsevier Inc. All rights reserved.
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