Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …

The Internet of Things (IoT) technology incorporates a large number of heterogeneous
devices connected to untrusted networks. Nevertheless, securing IoT devices is a …

Abstract Despite a Network Anomaly Detection System (NADS) being capable of detecting
existing and zero-day attacks, it is still not universally implemented in industry and real …

This study presents a multiagent architecture aimed at detecting SQL injection attacks, which
are one of the most prevalent threats for modern databases. The proposed architecture is …

In this research, a novel family of learning rules called Beta Hebbian Learning (BHL) is
thoroughly investigated to extract information from high-dimensional datasets by projecting …

The use of computer more and more need to be increase the security day by day in a real
world, the process of monitoring the computer system in a secure way for an unknown and …

The growth of network attacks has lengthened the intrusion detection system's (IDS)
processing time to detect these attacks. The demand for reducing the processing time has …

In this paper, we propose a novel method using ensemble learning scheme for classifying
network intrusion detection from the most renowned KDD cup dataset. We have shown that …

To develop a network traffic anomaly detection technique and system, it is indeed necessary
to know the basic properties of network-wide traffic. This chapter starts with a discussion of …