Authors
Mohammad Rmayti, Youcef Begriche, Rida Khatoun, Lyes Khoukhi, Dominique Gaiti,
Title
Denial of service (DoS) attacks detection in MANETs using Bayesian classifiers
In
2014 IEEE 21st Symposium on Communications and Vehicular Technology in the Benelux (SCVT)
Pages
7–12
Publisher
IEEE
Year
2014
Publisher's URL
10.1109/SCVT.2014.7046699
Indexed by
Abstract
Mobile Ad hoc Networks (MANETs) are dynamic and self-organized networks composed of mobile wireless entities. The communications between nodes are multihop, and provided in a decentralized way without preexisting infrastructure. These characteristics make MANETs vulnerable to many types of Denial of Service (DoS) attacks, this including, Wormhole, Blackhole and Grayhole attack. This latter targets some reactive routing protocols in the aim of disrupting the forwarding process in the network. Grayhole attack occurs during the route discovery phase when a malicious node drops some of received packets. The watchdog is a well-known intrusion detection mechanism and usually used to detect this kind of attack. However, watchdogs are characterized by a relatively high rate of false alerts. In this paper, we propose a novel approach of watchdog based on two Bayesian filters: Bernoulli and Multinomial. We use these two models in a complementary manner to successfully detect the packet dropping attacks in mobile ad hoc networks. Based on simulation results, our filters prove that these attacks can be detected with a high rate of accuracy.
Affiliations
Offprint