Black-Hole Attacks in P2P Mobile Networks Discovered through Bayesian Filters

MANETs (Mobile Ad-hoc NETworks) are an example of Peer-to-Peer (P2P) mobile networks in which security attacks, as black-hole ones, may cause serious dangers to the whole system. The watchdog is a well-known sensor usually adopted for detecting black-holes in such networks, but typical watchdogs are characterized by a relatively high number of false positive and negative cases, which can affect the effectiveness and efficiency to deal with intrusions.This paper proposes a novel approach for detecting black-hole attacks and selfish nodes in mobile P2P networks by using a watchdog sensor and a bayesian filtering. We demonstrate the validity of the approach through testing.