The usability and scalability of Internet of things (IoT) technology are expanding in such a
way that they facilitate human living standards. However, they increase the vulnerabilities …

With the advancement of technology over the last decade, there has been a rapid increase
in the number and types of malware attacks such as worms whose primary function is to self …

Co-representation, which co-represents samples and features, has been widely used in
various machine learning tasks, such as document clustering, gene expression analysis …

The Internet of Things (IoT) and its connected objects have resource limitations, which lead
to weak security concerns over the IoT infrastructures. Therefore, the IoT networks should …

For effective and secure access of Internet, the Border Gateway Protocol (BGP) has to be
capable to identify and stop odd concurrences in realistic time. Despite the fact that more …

Machine learning algorithms have been applied to address a variety of engineering and
scientific problems. The Internet has historically been prone to failures and attacks that …

As cyber attacks grow in complexity, their detection becomes increasingly challenging,
underscoring the critical role of advanced machine learning methods in cybersecurity. These …

Developing advanced cyber defense techniques is essential for effectively detecting network
anomalies that are becoming more challenging to identify. In this paper, we generate …