Identifying malicious peers in MANETs

This paper proposes a collaboration model that utilizes past interactions to identify malicious peers in MANETs. Peers might seek recommendations about an unknown device from other trusted peers. The model takes into account oscillating peers which exhibit honest behavior for a period of time and then later become malicious. Experiments on multiple malicious peers are carried. Under realistic assumptions the experimental results show that the network of peers always detects malicious peer(s) and isolates them from the network.