Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …

The increased adoption of cloud computing resources produces major loopholes in cloud
computing for cybersecurity attacks. An intrusion detection system (IDS) is one of the vital …

The rapid development in computer network and internet have resulted in increased
corresponding data and network attacks. Many novels and improvement technologies have …

Network intrusion detection plays a very important role in network security. Although current
deep learning-based intrusion detection algorithms have achieved good detection …

Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the
nation's meteorological and hydrological information is at ever-increasing risk, which calls …

Research on the application of machine learning to the field of intrusion detection is
attracting great interest. However, depending on the application, it is difficult to collect the …

With developing technologies, network security is critical, predominantly active, and
distributed ad hoc in networks. An intrusion detection system (IDS) plays a vital role in cyber …

This paper proposes an architecture to develop machine learning/deep learning models for
anomaly network intrusion detection systems on reconfigurable computing platforms. We …

Software-defined networking (SDN) represents a paradigm shift in network traffic
management. It distinguishes between the data and control planes. APIs are then used to …

Intrusion detection system (IDS), the second security gate behind the firewall, can monitor
the network without affecting the network performance and ensure the system security from …