Multi-Layer Information for Detecting Malicious Packet Dropping Behaviors in MANETs

Leovigildo Sánchez Casado; Gabriel Maciá-Fernández; Pedro García-Teodoro

Abstract:

This work introduces a novel cross-layer IDS approach for detecting malicious packet dropping behaviors in MANETs and distinguish them from legitimate packet discards, as collisions or channel errors. Although similar proposals can be found in the specialized literature, two main differences exist with ours. First, mobility aspects are explicitly considered into the approach by means of a heuristic which considers the operation of the forwarding process at the nodes. Second, this fact results in a significant improvement in the performance of the system, especially in terms of low false positive rate. The different experimental results obtained show the promising nature of our approach, both in terms of the excellent detection capabilities exhibited and from the point of view of the simplicity of the scheme.

Research areas: