The rapid growth of the Internet of Things (IoT) and big data has raised security concerns.
Protecting IoT big data from attacks is crucial. Detecting real-time network attacks efficiently …

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 …

Abstract Network Intrusion Detection Systems (NIDSs) are important in safeguarding
networks from known and unknown attacks. Many research efforts have recently been made …

Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …

Abstract The Internet of Things (IoT) refers to a vast and interconnected network comprising
smart objects with comprehensive capabilities. Unfortunately, the vulnerabilities of IoT …

Intrusion detection systems (IDSs) that continuously monitor data flow and take swift action
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …

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

As more lightweight objects connect to the Internet, the Internet of Things (IoT) is changing
our linked environment. Thus, IoT intrusion detection research must be high-quality to …

As IoT devices' adoption grows rapidly, security plays an important role in our daily lives. As
part of the effort to counter these security threats in recent years, many IoT intrusion …

Over the past few years, the internet of things (IoT) has advanced to connect billions of smart
devices to improve quality of life. However, anomalies or malicious intrusions pose several …