Abstract Machine learning-based IDSs have demonstrated promising outcomes in
identifying and mitigating security threats within IoT networks. However, the efficacy of such …

Internet of Things (IoT) technology has evolved significantly, transitioning from personal
devices to powering smart cities and global deployments across diverse industries …

Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

As the utilization of Internet of Things devices becomes increasingly important in real-life
applications, the need to address potential threats to the infrastructure of these networks …

The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …

The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally
interconnected society of the present day. However, the increased reliance on IoT devices …

The rapid evolution of technology has given rise to a connected world where billions of
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the …

With the proliferation of IoT devices, securing the IoT-based network is of paramount
importance. IoT-based networks consist of diversely purposed IoT devices. This diversity of …

In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …

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