Early Detection of Network Attacks Using Deep Learning. (arXiv:2201.11628v1 [cs.CR])

Web: http://arxiv.org/abs/2201.11628

The Internet has become a prime subject to security attacks and intrusions by
attackers. These attacks can lead to system malfunction, network breakdown,
data corruption or theft. A network intrusion detection system (IDS) is a tool
used for identifying unauthorized and malicious behavior by observing the
network traffic. State-of-the-art intrusion detection systems are designed to
detect an attack by inspecting the complete information about the attack. This
means that an IDS would only be able to detect an attack after …

arxiv attacks deep deep learning detection learning network