Deep Learning Approaches for Intrusion Detection

Recently, computer networks faced a big challenge, which is that various malicious attacks are growing daily. Intrusion detection one of the leading research problems in network and security. This paper investigates presents Deep Learning (DL) techniques for improving Detection System (IDS). Moreover, it provides detailed comparison with evaluating performance, deep learning algorithms detecting attacks, feature learning, datasets used to identify advantages employing enhancing intrusion detection.