Virtually every enterprise network has deployed intrusion detection systems (NIDSes) for
security threats detection, prevention, and response. To defend against cyberattacks with …

It is crucial to implement innovative artificial intelligence (AI)-powered network intrusion
detection systems (NIDSes) to protect enterprise networks from cyberattacks, which have …

To mitigate ever-changing cyber-attacks, we propose a machine-learning network-based
intrusion detection system (NIDS). To address issues with related studies for a target …

Network intrusion detection systems (NIDS) are essential for organizations to ensure the
safety and security of their communication and information. In this paper, we propose a deep …

One challenge for building a secure network communication environment is how to
effectively detect and prevent malicious network behaviours. The abnormal network …

With a paradigm shift to untact environments, security threats on the network also have been
significantly increasing all over the world. To monitor and detect intrusion attempts under …

The rapid expansion of varied network systems, including the Internet of Things (IoT) and
Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring …

Network-based Intrusion Detection Systems (NIDSs) must detect and defend against many
kinds of attacks. These defenses are certainly limited in their capabilities; however, there is a …

The network-based Intrusion detection system (NIDS) plays a key role in Internet of Things
(IoT) as most IoT services are network-driven. However, the existing NIDSes for IoT systems …

Network-based intrusion detection systems (NIDSes) tend to output massive alert logs to
cover all suspicious communications that deviate from normal network traffic. Due to the …