Multiagent Systems are potential computational systems for various practical applications, tools, and so on. Multiagent simulation is one of the remarkable application to evaluate ...
In recent years, web applications have become tremendously popular, and nowadays they are routinely used in security-critical environments, such as medical, financial, and milita...
Marco Cova, Davide Balzarotti, Viktoria Felmetsger...
Network-level emulation has recently been proposed as a method for the accurate detection of previously unknown polymorphic code injection attacks. In this paper, we extend network...
Michalis Polychronakis, Kostas G. Anagnostakis, Ev...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Abstract—Most research work on (Simultaneous Multithreading Processors) SMTs focuses on improving throughput and/or fairness, or on prioritizing some threads over others in a wor...