An Intelligent Intruder Detection System Based On Process Mining and Decision Tree
With the development and application of network technology, the issues of network security have become prominent increasingly. As an effect, building effective intrusion detection models with good accuracy and real time performance are essential. In this paper the authors propose a new processes mining based technique for IDS using agent based system. To make system which work on the basis of client agent and server agent by using the algorithm C4.5 for process mining. In this paper they will address the novel approach and more over it provide appropriate system architecture.