Detection and Analysis of Intrusion Attacks Using Deep Neural Networks

Intrusion detection systems are becoming more necessary because the number of intrusion attacks on servers is increasing. Attackers try to intrude on the servers in various ways. Therefore, intrusion detection systems based on machine learning are required because it is hard to make the detection rules manually. This paper presents a deep neural network for intrusion detection systems. In addition, this paper shows experimental results which indicate the performance of the proposed neural network. The experimental results in this paper also indicate why detecting intrusion attacks is not easy.