Intrusion Detection in Mobile Ad Hoc Networks Using Classification Algorithms

In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of the MultiLayer Perceptron (MLP), the Linear classifier, the Gaussian Mixture Model (GMM), the Na

• Type: Journal
• Year: 2008
• Where: CORR
• Authors: Aikaterini Mitrokotsa, Manolis Tsagkaris, Christos Douligeris
• Keywords: CORR 2008, Education, Intrusion Detection Models, Packet Dropping, Vector Machines