@inproceedings{838e86ff6bf1404b9ac611d3a3f2b256,
title = "Analyzing attacks in wireless ad hoc network with self-organizing maps",
abstract = "Detecting anomalous events and attacks in the ad-hoc wireless network is a challenging area for research due to the characteristics of wireless network. The proposed detection system monitors network traffic on each node and analyzes collected data by Self-Organizing Maps to extract statistical regularities from the input data vectors and encode them into the weights without supervision. We evaluate our approach to detect network attacks on AODV and DSR protocols using OPNET. Our simulation results show that our approach can accurately detect anomalous behaviors caused by network attacks.",
keywords = "Computer network security, MANET, Self-organizing feature maps, Site security monitoring",
author = "Traian Avram and Seungchan Oh and Salim Hariri",
year = "2007",
doi = "10.1109/CNSR.2007.15",
language = "English (US)",
isbn = "076952835X",
series = "Proceedings - CNSR 2007: Fifth Annual Conference on Communication Networks and Services Research",
pages = "166--175",
booktitle = "Proceedings - CNSR 2007",
note = "CNSR 2007: 5th Annual Conference on Communication Networks and Services Research ; Conference date: 14-05-2007 Through 17-05-2007",
}