A DBN-DEVS Extension for Modeling and Simulate Uncertain Systems

In this paper, our goal is to propose a new extension to the Discrete Event System (DEVS) formalism, which is based on Dynamic Bayesian Network (DBN), and this extension will be called DBN-DEVS, which allows to modeling and simulate the uncertain behavior of complex systems. To gain their modeling power, we will integrate the Dynamic Bayesian Network which will allow DEVS to be useful for a wide range of applications domain. To test and validate our extension, we took the field of intrusion detection to model the uncertain behavior of IDS during prediction intrusion detection.