Abstract Network Intrusion Detection Systems (NIDSes) play an important role in security
operations to detect and defend against cyberattacks. As artificial intelligence (AI)-powered …

A malicious packet attack is defined as a severe attack created or received over the network.
Recently, researchers have made modern intrusion detection systems in order to detect …

Current intrusion detection techniques cannot keep up with the increasing amount and
complexity of cyber attacks. In fact, most of the traffic is encrypted and does not allow to …

Machine learning techniques such as artificial neural networks are seeing increased use in
the examination of communication network research questions. Central to many of these …

Both enterprise and carrier networks face various cyber threats in daily operation. Although
numerous security researchers have proposed various attack detection methods to defend …

Network Intrusion Detection Systems (NIDSs) are crucial tools for ensuring cyber security.
Recently, machine learning-based NIDSs have gained popularity due to their ability to adapt …

The Intrusion Detection System is a critical part of a network infrastructure to detect and
prevent cyberattacks. The use of Artificial Intelligence has the potential to improve the …

Distributed denial of service (DDoS) is a structured network attack coming from various
sources and fused to form a large packet stream. DDoS packet stream pattern behaves as …

Despite recent advances in cloud processing power and network connectivity to handle
massive network traffic, networks are still vulnerable to Distributed Denial of Service (DDoS) …

Forthcoming 6G/NextG networks highlight the need for advanced Artificial Intelligence (AI)-
based security mechanisms to identify malicious activities and adapt to emerging threats. In …