Detecting attacks in QoS-OLSR protocol

Abstract

In this paper, we detect two attacks targeting the QoS-OLSR protocol MANET. The Cluster-based model QoS-OLSR is a multimedia protocol designed on top of Optimized Link State Routing (OLSR) protocol. The quality of service (QoS) of the nodes is considered during the selection of the multi-point relays (MPRs) nodes. In this work, we identify two attacks that can be launched against the QoS-OLSR protocol: Identity spoofing attack, and wormhole attack. Watchdogs are used to detect the attacks performed by malicious nodes. As a solution, we propose to improve the watchdogs' detection by (1) using cooperative watchdog model and (2) adding the posterior belief function using Bayes' rule to the watchdog model. Simulation results show that the use of the Bayes' rule function along with the cooperative watchdog model improves the detection rate and reduces the false positives.