Principal Investigator: Bharat Bhargava
Ad hoc networks are natively cooperative systems in the sense that their nodes have to relay data to one another. The inherent drawback of this scheme is that it renders these networks susceptible to intruders. Collaborative attacks, in which various attackers may coordinate actions to hit the network stronger, are also facilitated by the natural cooperation existing in ad networks. In this paper, we discuss the most important forms of attacks, address possible collaborations among attackers, show how machine learning techniques and signal processing techniques can be used to detect and defend against collaborative attacks in such environments, and discuss implementation issues. We also perform evaluations to determine the best design options for our preliminary proposed scheme to collaboratively respond to attacks.
Students: Mehdi Azarmi W. Ferreira M. Lindermann Ruy Olivier Weichao Wang
Keywords: ad hoc networks, collaborative attack