The popularity of using Internet contains some risks of network attacks. Intrusion detection is
one major research problem in network security, whose aim is to identify unusual access or …

As advances in networking technology help to connect the distant corners of the globe and
as the Internet continues to expand its influence as a medium for communications and …

The exponential growth in the number of cyber attacks in the recent past has necessitated
active research on network intrusion detection, prediction and mitigation systems. While …

Data preprocessing is widely recognized as an important stage in anomaly detection. This
paper reviews the data preprocessing techniques used by anomaly-based network intrusion …

Analysis and prediction of network traffic has applications in wide comprehensive set of
areas and has newly attracted significant number of studies. Different kinds of experiments …

With the proliferation of internet users around the world, it is becoming imperative to make
communications safer than before. A network intrusion detection system is pivotal for …

Our generation has seen the boom and ubiquitous advent of Internet connectivity.
Adversaries have been exploiting this omnipresent connectivity as an opportunity to launch …

In recent years, the growing threat of cyber attacks has made more researchers focus on the
study of alert correlation and attack prediction. While numerous solutions have been …

Nowadays, information security is extremely critical issues for every organization to protect
information from the useless data on the manipulation of network traffic or intrusion. Intrusion …

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit
card fraud (CCF). Need for the study: With the advance of technology, the world is …