Characterization of Framework for Detection & Prevention of DoS Attacks in Wireless Ad Hoc Network

I. Introduction The various attacks against mobile nodes are flooding, black hole, warm hole, packet dropping and Byzantine attack etc. It is important to search new architecture and mechanisms to protect the wireless networks and mobile computing application. Intrusion Detection System (IDS) tools are suitable for identifying these attacks. IDS analyze the network activities by means of audit data and use patterns of well known attacks or normal profile to detect potential attacks. There are two methods to analyze: misuse detection and anomaly detection. Misuse detection is not effective against unknown attacks and therefore, anomaly detection method is used. In this approach, the audit data is collected from each mobile node after simulating the attack and compared with the normal behavior of the system. If there is any deviation from normal behavior then the event is considered as an attack. This research paper focuses on two different DoS attack model i.e. data flooding and black hole scenarios