Modification of supervised OPF-based intrusion detection systems using unsupervised learning and social network concept

Volume: 62, Pages: 56 - 72
Published: Feb 1, 2017
Abstract
Optimum-path forest (OPF) is a graph-based machine learning method that can overcome some limitations of the traditional machine learning algorithms that have been used in intrusion detection systems. This paper presents a novel approach for intrusion detection using a modified OPF (MOPF) algorithm for improving the performance of traditional OPF in terms of detection rate (DR), false alarm rate (FAR), and time of execution. To address the...
Paper Details
Title
Modification of supervised OPF-based intrusion detection systems using unsupervised learning and social network concept
Published Date
Feb 1, 2017
Volume
62
Pages
56 - 72
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