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 …

Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

The IoT's quick development has brought up several security problems and issues that
cannot be solved using traditional intelligent systems. Deep learning (DL) in the field of …

As an innovative strategy, edge computing has been considered a viable option to address
the limitations of cloud computing in supporting the Internet‐of‐Things applications …

An intrusion detection system serves as the backbone for providing high-level network
security. Different forms of network attacks have been discovered and they continue to …

In network intrusion detection, since the available attack traffic is much less than normal
traffic, detecting attacks and intrusions from these unbalanced traffic can be a problem of …

The article presents a secure edge computing model that utilizes machine learning for
intrusion detection and isolation. It addresses the security challenges arising from the rapid …

The increasing prevalence of security breaches and malicious software attacks is a major
concern in the digital landscape, sparking continued interest in malware detection. Malware …

The detection of image edges is a major challenge in image processing and computer
vision, since it needs to dispense of unnecessary pixels while preserving significant ones …

The growth of the Internet of Things (IoT) has led to a significant rise in cyber attacks and an
expanded attack surface for the average consumer. In order to protect consumers and …