As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
—In this paper, we investigate the applicability of simulation and emulation for denial of service (DoS) attack experimentation. As a case study, we consider low-rate TCP-targete...
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
Software packet processing is becoming more important to enable differentiated and rapidly-evolving network services. With increasing numbers of programmable processor and acceler...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...