The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …

IoT networks are increasingly popular nowadays to monitor critical environments of different
nature, significantly increasing the amount of data exchanged. Due to the huge number of …

The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …

Internet of Things (IoT) fosters unprecedented network heterogeneity and dynamicity, thus
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …

The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

The growing number of low-power smart devices in the Internet of Things is coupled with the
concept of “edge computing” that is moving some of the intelligence, especially machine …

The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …

Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Network intrusion detection is one of the main problems in ensuring the security of modern
computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In …