The intrusion detection is an essential section in network security because of its immense
volume of threats which bothers the computing systems. The real-time intrusion detection …

With the advancement of internet technology, the numbers of threats are also rising
exponentially. To reduce the impact of these threats, researchers have proposed many …

The rapid expansion of computer networks is causing vulnerabilities to occur, which in turn
is compromising security. Thus, there is a need to monitor network traffic transmitted over …

Ensemble-classifier is a technique that uses a combination of multiple classifiers to reach a
more precise inference result than a single classifier. In this paper, a three-layer hierarchy …

In this chapter, a new review and taxonomy of the input data and pre-processing techniques
of intrusion detection systems are presented. This chapter surveys the literature over the last …

The pursuit to spot abnormal behaviors in and out of a network system is what led to a
system known as intrusion detection systems for soft computing besides many researchers …

Two of the major challenges in designing anomaly intrusion detection are to maximize
detection accuracy and to minimize false alarm rate. In addressing this issue, this paper …

Researchers investigated Artificial Intelligence (AI) based classifiers for intrusion detection to
cope the weaknesses of knowledge based systems. AI based classifiers can be utilized in …

Massive information has been transmitted through complicated network connections around
the world. Thus, providing a protected information system has fully consideration of many …

Intrusion detection systems (IDSs) are intrinsically linked to a comprehensive solution of
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …