A Generalized Intrusion Detection & Prevention Mechanism for Securing MANETs
Most of the research in securing Mobile Ad hoc NETworks (MANETs) has focused on proposals which detect and prevent a specific kind of attack such as sleep deprivation, black hole, grey hole and rushing attacks. In this paper, the authors broaden their previously develop algorithm AIDP and propose a generalized intrusion detection and prevention mechanism. They use a combination of anomaly-based and knowledge-based intrusion detection. This approach not only secures the MANET from a wide variety of routing attacks but also has the capability to detect new unforeseen attacks. Simulation results of a case study shows that their proposed mechanism can successfully detect attacks, including multiple simultaneous different attacks, and identify and isolate the intruders causing a variety of attacks, with an affordable network overhead.