Attacks and defense in mobile wireless ad hoc networks

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Current threats against Mobile Ad Hoc Networks (MANETs) are becoming more and more sophisticated that prevention solutions based on single attacks are by no means effective. In fact, the current research is missing an understanding of the coordination among attacks and the collaboration among various attackers since that is emerging as a powerful strategy for malicious nodes. In MANETs, the identification of malicious activity is hard when one node misbehaves in route formation. If multiple nodes act maliciously, simultaneously, or alternately, the schemes to deal with them become very slow at most nodes. Previous works have built a foundation for the work proposed in this research. The current research proposal will address issues of characterizing, modeling, and defense against coordinated/collaborative attacks for mobile wireless ad hoc networks. The specific objectives of this research are: (1) Classification of attacks: adversaries have collaborated together to conduct more complex and subtle attacks to prevent detection or identification. We will provide a more detail classification of collaborative attacks based on their different objectives and typical attacks in each type. By exposing the common properties of different attacks in the same group, we will design generic detection and prevention approaches, (2) Detection and Prevention of Blackhole Attack: we will design a methodology for identifying multiple black hole nodes cooperating as a group with a modified AODV protocol by introducing some key mechanisms. We will study the impact of collaborative attacks on the existing routing protocols in ad-hoc networks, in order to gain insights on designing secure mechanisms, then, we will evaluate the proposed methodology and compare it with existing routing protocols. (3) Detection and Prevention of Wormhole attack: we will design a mechanism to classify wormhole attacks in its various forms. (4) We will conduct experiments to characterize attack patterns and study the effects on fairness for scenarios under attacks. This research project is expected to contribute significantly to the advancement of knowledge in multi-hop wireless networks security.