An Intrusion Detection Model Based on Deep Belief Network
Feng Juan Qu, Jitao Zhang, Zetian Shao, Shuzhuang Qi · 2017
The method of network intrusion detection based on deep learning is the hotspot of current research. This paper presents an intrusion detection model based on deep belief network and analyzes the NSL-KDD dataset. The experimental results show that the algorithm improves the detection of abnormal behavior pattern data and satisfies the requirement of high efficiency and reliability of intrusion detection system.