PROFIDES - Profile Based Intrusion Detection Approach Using Traffic Behavior over Mobile Ad Hoc Network

Detection in MANET is one of the major concern in peer- to-peer networking scenario where mobile / wireless nodes communicate with each other without any pre-defined infra-structural setup. This paper presents an overview of various intrusion detection models, identifying its issues, discusses on design and proposes an intrusion detection system using profile based traffic behavior scenario (PROFIDES), to determine misbehaving nodes by generating alerts based on critical parameters to identify an intrusion activity. The proposed system had been checked primarily for Packet Drop attacks, where the performance is effective over AODV and its other counterpart protocols. PROFIDES works in highly dynamic varying environments where any variation in traffic intensity of MANET is analyzed to adapt for different traffic behavioral patterns.