—Usage control goes beyond traditional access control, addressing its limitations related to attribute mutability and continuous usage permission validation. The recently propose...
Rafael Teigao, Carlos Maziero, Altair Olivo Santin
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
In this paper we introduce a mathematical model of conflict that enhances Richardson’s model of Arms Race accounting for interactive scenarios, such as the ones provided by CRP...
We present a discretionary access control framework that can be used to control a principal’s ability to link information from two or more audit records and compromise a user’...