A Ferry-based Intrusion Detection Scheme for Sparsely Connected Ad Hoc Networks

Several intrusion detection approaches have been proposed for mobile ad hoc networks. Many of the approaches assume that there are sufficient neighbors to help monitor the transmissions and receptions of data packets by other nodes to detect abnormality. However, in a sparsely connected adhoc network, nodes usually have very small number of neighbors. In addition, new history based routing schemes e.g. Prophet have been proposed because traditional adhoc routing schemes do not work well in sparse ad hoc networks. In this paper, we propose a ferry-based intrusion detection and mitigation (FBIDM) scheme for sparsely connected ad hoc networks that use Prophet as their routing scheme. Via simulations, we study the effectiveness of the FBIDM scheme when malicious nodes launch selective data dropping attacks. Our results with different mobility models, ferry speed, traffic load scenarios indicate that the FBIDM scheme is promising in reducing the impact of such malicious attacks.