The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance
specifications are poised to revolutionize the telecom ecosystem. O-RAN promotes …

Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of
enterprise networks against cyber-attacks. However, NIDS networks suffer from several …

The mission of an intrusion detection system (IDS) is to monitor network activities and
assess whether or not they are malevolent. Specifically, anomaly-based IDS can discover …

There is an astounding growth in the adoption of machine learners (MLs) to craft intrusion
detection systems (IDSs). These IDSs model the behavior of a target system during a …

Machine learning and deep learning techniques are widely used to evaluate intrusion
detection systems (IDS) capable of rapidly and automatically recognizing and classifying …

Abstract Internet of Things (IoT) services and devices have raised numerous challenges
such as connectivity, computation, and security. Therefore, networks should provide and …

Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …

With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

SQL injection is a type of security vulnerability that occurs in database-driven web
applications where an attacker injects malicious code into the application to gain …

Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving
as well as semi-automobile vehicles. Such vehicles rely heavily on data management and …