Abstract--Monitoring the health of a sensor network is important for maintaining the health and normal operation of the network. For large-scale cost-effective monitoring, using in...
Abstract. We present a game-theoretic framework for modeling and solving routing problems in dynamically changing networks. The model covers the aspects of reactivity and non-termi...
We propose a novel trap-based architecture for enterprise networks that detects “silent” attackers who are eavesdropping network traffic. The primary contributions of our work...
Brian M. Bowen, Vasileios P. Kemerlis, Pratap V. P...
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...