The task of developing Intrusion Detection System (IDS) crucially depends on the
preprocessing along with selecting important data features of it. Another crucial factor is …

Today's internets are made up of nearly half a million different networks. In any network
connection, identifying the attacks by their types is a difficult task as different attacks may …

Information and communication technology is growing rapidly, making it the target of various
attacks. The attacks can be in the form of data theft, phishing, and Denial of Service (DoS) …

Higher dimensionality of data that has to be analyzed for detecting attack is one of the key
issues concerning intrusion detection system (IDS). This is due to the different features in the …

This paper presents the analysis of the effect of clustering the training data and test data in
classification efficiency of Naive Bayes classifier. KDD cup 99 benchmark dataset is used in …

The exponential growth of computers and devices connected to the Internet and the variety
of commercial services offered creates the need to protect Internet users. As a result …

ABSTRACT Although advanced Machine Learning (ML) techniques have been adopted for
detecting intruders, the attack remains a major Internet threat. The main objective of this …

The rapid development of technology reveals several safety concerns for making life more
straightforward. The advance of the Internet over the years has increased the number of …

Malicious users are always trying to intrude the information systems, taking advantage of
different system vulnerabilities. As the Internet grows, the security limitations are becoming …

Network Intrusion Detection Systems (NIDSs) are increasingly in demand today as the
widespread of networked machines and Internet technologies emerge rapidly. As a result …