The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Abstract. We propose an access control scheme for developing authorization rules for XML documents, allowing flexible data granularity and authorization propagation. To simplify t...
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
A powerful strategy in intrusion detection is the separation of surveillance mechanisms from a site’s policy for processing observed events. The Bro intrusion detection system h...
In this paper, we formulate the concept of policy-based cryptography which makes it possible to perform policy enforcement in large-scale open environments like the Internet, with ...