Cybersecurity is a significant concern for businesses worldwide, as cybercriminals target
business data and system resources. Cyber threat intelligence (CTI) enhances …

Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

Federated Learning (FL) is a promising distributed training model that aims to minimize the
data sharing to enhance privacy and performance. FL requires sufficient and diverse training …

Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …

The constantly evolving digital transformation imposes new requirements on our society.
Aspects relating to reliance on the networking domain and the difficulty of achieving security …

Ensuring robust security in the Internet of Things (IoT) landscape is of paramount
importance. This research article presents a novel approach to enhance IoT security by …

The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …

Artificial Intelligence (AI) has emerged as a transformative force in the field of cybersecurity,
playing a pivotal role in safeguarding national infrastructure. This review focuses on the …

The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …

Abstract Cyber Threat Intelligence (CTI) is essential knowledge concerning cyber and
physical threats aimed at mitigating potential cyber attacks. The rapid evolution of …