Research Article
Intrusion Detection with Neural Networks and Watermarking Techniques for MANET
@INPROCEEDINGS{10.1109/PERSER.2007.4283901, author={Aikaterini Mitrokotsa and Nikos Komnino and Christos Douligeris}, title={Intrusion Detection with Neural Networks and Watermarking Techniques for MANET}, proceedings={1st International IEEE Conference on Pervasive Services}, publisher={IEEE}, proceedings_a={ICPS}, year={2007}, month={8}, keywords={Engines Intrusion detection Learning systems Machine learning Mobile ad hoc networks Neural networks Protection Traffic control Visualization Watermarking}, doi={10.1109/PERSER.2007.4283901} }- Aikaterini Mitrokotsa
Nikos Komnino
Christos Douligeris
Year: 2007
Intrusion Detection with Neural Networks and Watermarking Techniques for MANET
ICPS
IEEE
DOI: 10.1109/PERSER.2007.4283901
Abstract
In mobile ad hoc networks (MANET) specific Intrusion Detection Systems (IDSs) are needed to safeguard them since traditional intrusion prevention techniques are not sufficient in the protection of MANET. In this paper we present an intrusion detection engine based on neural networks combined with a protection method, which is based on watermarking techniques. We exploit the advantages of information visualization and machine learning techniques in order to achieve intrusion detection. Then, we authenticate the maps produced by the application of the intelligent techniques using a novel combined watermarking embedded method. The performance of the proposed model is evaluated under different traffic conditions, mobility patterns and visualization metrics, showing its high efficiency.
