With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
Abstract. We present a brief overview of the tool Ticc (Tool for Interface Compatibility and Composition). In Ticc, a component interface describes both the behavior of a component...
B. Thomas Adler, Luca de Alfaro, Leandro Dias da S...
Attribute staleness arises due to the physical distribution of authorization information, decision and enforcement points. This is a fundamental problem in virtually any secure di...
Ram Krishnan, Jianwei Niu, Ravi S. Sandhu, William...
We present three case studies, investigating the use of probabilistic model checking to automatically analyse properties of probabilistic contract signing protocols. We use the pr...