Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
We give the first systematic investigation of the design space of worm defense system strategies. We accomplish this by g a taxonomy of defense strategies by abstracting away impl...
David Brumley, Li-Hao Liu, Pongsin Poosankam, Dawn...
Abstract—To reap the benefits of advances in wireless technologies as well as provide backward compatibility with current investments, future wireless routers that constitute th...
Abstract— We study the effect of the field size on the performance of random linear network coding for time division duplexing channels proposed in [1]. In particular, we study ...
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...