With the increasing utilization of the Internet and its provided services, an increase in cyber-
attacks to exploit the information occurs. A technology to store and maintain user's …

Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …

Redundant and irrelevant features in data have caused a long-term problem in network
traffic classification. These features not only slow down the process of classification but also …

A pattern matching method (signature-based) is widely used in basic network intrusion
detection systems (IDS). A more robust method is to use a machine learning classifier to …

Widespread adoption of cloud computing has increased the attractiveness of such services
to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud's …

The internet has grown enormously for many years. It is not just connecting computer
networks but also a group of devices worldwide involving big data. The internet provides an …

Cyber attack detection technology plays a vital role today, since cyber attacks have been
causing great harm and loss to organizations and individuals. Feature selection is a …

Mutual information has been successfully adopted in filter feature-selection methods to
assess both the relevancy of a subset of features in predicting the target variable and the …

In the last decade, researchers, practitioners and companies struggled for devising
mechanisms to detect cyber-security threats. Among others, those efforts originated rule …

In this paper, we have developed an enhanced J48 algorithm, which uses the J48 algorithm
for improving the detection accuracy and the performance of the novel IDS technique. This …