Analyzing Attacks in Wireless Ad Hoc Network with Self-Organizing Maps

Author

Avram, Traian ; Oh, Seungchan ; Hariri, Salim

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ

fYear

2007

fDate

14-17 May 2007

Firstpage

166

Lastpage

175

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

ad hoc networks; computer networks; protocols; self-organising feature maps; telecommunication security; telecommunication traffic; AODV protocol; DSR protocol; ad hoc on demand distance vector; computer network security; network traffic; self-organizing maps; site security monitoring; wireless ad hoc networks; Communication system security; Computer security; Data security; Mobile ad hoc networks; Network topology; Protocols; Self organizing feature maps; Telecommunication traffic; Wireless networks; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Networks and Services Research, 2007. CNSR '07. Fifth Annual Conference on

Conference_Location

Frederlcton, NB

Print_ISBN

0-7695-2835-X

Type

conf

DOI

10.1109/CNSR.2007.15

Filename

4215510