Many intrusion detection and prevention systems (IDPS) have been introduced to identify
suspicious activities. However, since attackers are exploiting new vulnerabilities in systems …

Abstract The Internet of Things (IoT) is one of the main research fields in the Cybersecurity
domain. This is due to (a) the increased dependency on automated device, and (b) the …

Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion
Detection Systems (IDS). The increase in both the number and sheer variety of new cyber …

Recently, network attacks launched by malicious attackers have seriously affected modern
life and enterprise production, and these network attack samples have the characteristic of …

Abstract Network Control Systems (NAC) have been used in many industrial processes.
They aim to reduce the human factor burden and efficiently handle the complex process and …

The issue of cybersecurity is becoming more and more serious every day at all levels and in
all domains. Cyber-attacks threaten the national security of every country and nation …

The most serious risk to network security can arise from a zero-day attack. Zero-day attacks
are challenging to identify as they exhibit unseen behavior. Intrusion detection systems (IDS) …

In the digital world, malicious activities that violate the confidentiality, integrity, or availability
of data and devices are known as intrusions. An intrusion detection system (IDS) analyses …

Distributed denial-of-service (DDoS) attacks are among the toughest security issues
nowadays. These attacks are launched at any time and can impact any part of a network's …

Intrusion detection plays an important role in protecting systems from various threats.
However, as intrusion techniques become more sophisticated, traditional detection methods …