Detecting attacks in QoS-OLSR protocol

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.