Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

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

Machine learning and deep learning techniques are widely used to evaluate intrusion
detection systems (IDS) capable of rapidly and automatically recognizing and classifying …

Surface defect detection using deep learning approaches has become a promising area of
research, but the difficulty of accurately locating and segmenting various forms of defects …

The fourth industrial revolution is marked by the rapid growth of Internet of Things (IoT)
technology, leading to an increase in the number of IoT devices. Unfortunately, this also …

Cyber-attacks on the numerous parts of today's fast develo** IoT are only going to
increase in frequency and severity. A reliable method for detecting malicious attacks such as …

Healthcare institutions, policymakers, and leaders around the world all agree that improving
people's health and livelihoods is our number one priority. Aging, disability, long‐term care …

The adoption of cloud computing has become increasingly widespread across various
domains. However, the inherent security vulnerabilities of cloud computing pose significant …

Ransomware attacks are hazardous cyber-attacks that use cryptographic methods to hold
victims' data until the ransom is paid. Zero-day ransomware attacks try to exploit new …

The growing use of the Internet with its vulnerabilities has necessitated the adoption of
Intrusion Detection Systems (IDS) to assure security. IDSs are protective systems that detect …