DAREnsemble: Decision tree and rule learner based ensemble for network intrusion detection system

D Gaikwad, R Thool - Proceedings of First International Conference on …, 2016 - Springer
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 …

A novel intelligent ensemble classifier for network intrusion detection system

MA Jabbar, K Srinivas… - Proceedings of the Eighth …, 2018 - Springer
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 …

[PDF][PDF] Intrusion detection system using ensemble of rule learners and first search algorithm as feature selectors

DP Gaikwad - International Journal of Computer Network and …, 2021 - mecs-press.net
Recently, the use of Internet is increased for digital communication to share a lot of sensitive
information between computers and mobile devices. For secure communication, data or …

[HTML][HTML] A novel ensemble learning-based model for network intrusion detection

N Thockchom, MM Singh, U Nandi - Complex & Intelligent Systems, 2023 - Springer
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 …

Cluster based ensemble classification for intrusion detection system

MA Jabbar, R Aluvalu, SSS Reddy - Proceedings of the 9th international …, 2017 - dl.acm.org
Network security is a challenging task, as there is a tremendous growth of network-based
services and sharing of sensitive information on the network. Intrusion throws a serious risk …

Intrusion detection system using bagging with partial decision treebase classifier

DP Gaikwad, RC Thool - Procedia Computer Science, 2015 - Elsevier
Abstract Intrusion Detection System has become an essential part of the computer network
security. It is used to detect, identify and track the intruders in the computer network. Intrusion …

An optimized adaptive ensemble model with feature selection for network intrusion detection

Z Yang, Z Liu, X Zong, G Wang - … and Computation: Practice …, 2023 - Wiley Online Library
Network intrusion detection system (NIDS) is a key component to identify abnormal behavior
of network systems and plays an important role in preventing the occurrence of network …

Intrusion detection system using bagging ensemble method of machine learning

DP Gaikwad, RC Thool - 2015 international conference on …, 2015 - ieeexplore.ieee.org
Intrusion detection system is widely used to protect and reduce damage to information
system. It protects virtual and physical computer networks against threats and vulnerabilities …

Vc-ids: An ensemble learning method based on voting classifier for intrusion detection system using machine learning algorithms

MIA Palash, S Ulla, AKMM Islam… - … on Information and …, 2023 - ieeexplore.ieee.org
The number of illegal intruders is growing at the same rate as the number of computer
networks and the amount of data on those networks. They try to steal important and private …

[HTML][HTML] Advanced feature-selection-based hybrid ensemble learning algorithms for network intrusion detection systems

DN Mhawi, A Aldallal, S Hassan - Symmetry, 2022 - mdpi.com
As cyber-attacks become remarkably sophisticated, effective Intrusion Detection Systems
(IDSs) are needed to monitor computer resources and to provide alerts regarding unusual or …