The aim of this paper is to analyze the performance of an intrusion detection model using
single-and ensemble-based classifiers. Several tree-based single classifiers were analyzed …

In recent years, the world witnessed a rapid growth in attacks on the internet which resulted
in deficiencies in networks performances. The growth was in both quantity and versatility of …

With the increased dependence on the Internet, Network Intrusion Detection system (NIDs)
becomes an indispensable part of information security system. NIDs aims at distinguishing …

Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …

The growth of Internet and the services provided by it has been growing exponentially in the
past few decades. With such growth, there is also an ever-increasing threat to the security of …

The network intrusion detection system (NIDS) has become an essential tool for detecting
attacks in computer networks and protecting the critical information and systems. The …

Intrusion detection system is a device or software application that monitors a network of
systems to identify any malicious activity or policy violations. In order to identify intrusions or …

One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

INTRODUCTION: As the use of the internet is increasing rapidly, cyber-attacks over user's
personal data and network resources are on the rise. Due to the easily accessible cyber …