Recent technological advancements have significantly expanded both networks and data,
thereby introducing new forms of attacks that pose considerable challenges to intrusion …

Abstract The Internet of Things (IoT) is revolutionizing modern technology by connecting
numerous devices and applications. However, its lack of standardization has led to security …

The amalgamation of Internet of Things (IoT) and communication systems within Smart Grid
Control Systems (SGCS) has amplified their susceptibility to cyber-attacks, posing a …

Over the last decade, Nitrogen Oxide (NOx) emissions have garnered significantly greater
attention due to the worldwide emphasis on sustainable development strategies. In …

Even though deep learning shows impressive results in several applications, its use on
problems with High Dimensions and Low Sample Size, such as diagnosing rare diseases …

Abstract Currently, the Internet of Things (IoT) generates a huge amount of traffic data in
communication and information technology. The diversification and integration of IoT …

The goal of current research will be to increase the accuracy and generalisation capacity of
intrusion detection models in order to better handle the complex network security issues of …

Improved statistical methods are employed to make it possible to examine several statistical
approaches concurrently, produce scientific findings, and identify the most successful …

Cybersecurity threat detection in the Internet of Things (IoT) identifies and mitigates risks
associated with connected devices. The IoT devices are vulnerable to attacks as they do not …

Recently, deep learning has gotten progressively popular in the domain of security.
However, Traditional machine learning models are not capable to discover zero-day botnet …