Intrusion detection (ID) is the task of analysis the event occurring on a network system in
order to detect abnormal activity. Intrusion Detection System has increased due to its more …

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 …

The objective of this research paper is to propose a novel ensemble Intrusion Detection
System (IDS) to classify intrusions. Network security is important and challenging, as there is …

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

The Intrusion detection system is a network security application which detects anomalies
and attackers. Therefore, there is a need of devising and developing a robust and reliable …

The goal of intrusion detection system (IDS) is to detect various types of malicious against
computer networks. Unlike conventional firewall, IDS identifies attacks intelligently using …

The application of data mining techniques in intrusion detection has attracted considerable
attention from the research community. Ensemble learning can be used as an effective …

Intrusion detection system is the system of preventing the intruders to getting inside either
knowingly or unknowingly. Intrusion detection systems act as a barrier for various attacks …

As services are being deployed on the internet, there is the need to secure the infrastructure
from malicious attacks. Intrusion detection serves as a second line of defense apart from …

Artificial intelligence based techniques capitulate better performance in identifying the
intrusions than other conventional approaches used in this field, but no single classifier is …