Improved Intrusion Detection System (IDS) performance using Machine Learning: A Comparative Study of Single Classifier and Ensemble Learning

T Hariguna, AR Hananto - 2022 IEEE Creative Communication …, 2022 - ieeexplore.ieee.org
Unlike conventional firewalls, intrusion detection systems (IDS) are acknowledged as a very
significant and leading strategy for detecting hazardous behaviors on computer networks …

Improving performance of intrusion detection system using ensemble methods and feature selection

NT Pham, E Foo, S Suriadi, H Jeffrey… - Proceedings of the …, 2018 - dl.acm.org
The main task of an intrusion detection system (IDS) is to detect anomalous behaviors from
both within and outside the network system, and there have been increasing studies …

Integrated intrusion detection model using chi-square feature selection and ensemble of classifiers

IS Thaseen, CA Kumar, A Ahmad - Arabian Journal for Science and …, 2019 - Springer
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 …

A new ensemble based approach for intrusion detection system using voting

NS Bhati, M Khari - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
With the increase in the amount of data available today, the responsibility of keeping that
data safe has also taken a more severe form. To prevent confidential data from getting in the …

[PDF][PDF] Ensemble-Based Approach for Efficient Intrusion Detection in Network Traffic.

A Almomani, I Akour, AM Manasrah… - … Automation & Soft …, 2023 - researchgate.net
The exponential growth of Internet and network usage has necessitated heightened security
measures to protect against data and network breaches. Intrusions, executed through …

Ensemble of machine learning algorithms for intrusion detection

TS Chou, J Fan, S Fan, K Makki - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
Ensemble-classifier is a technique that uses a combination of multiple classifiers to reach a
more precise inference result than a single classifier. In this paper, a three-layer hierarchy …

[PDF][PDF] Intrusion detection using ensemble learning on combined features

M Milliken, Y Bi, L Galway… - International Journal of …, 2015 - infonomics-society.org
Network intrusions may illicitly retrieve data/information, or prevent legitimate access.
Reliable detection of network intrusions is an important problem, misclassification of an …

Analysis of Ensemble Classifiers with Feature Selection for an Effective Intrusion Detection Model

A Dyaram, V Manojkumar, J Sairabanu… - … on Communication and …, 2021 - Springer
Intrusion detection system (IDS) is constructed primarily to detect and block malicious
attacks on a network. Several artificial intelligence techniques and genetic algorithms are …

Ensemble learning algorithms with feature reduction mechanism for intrusion detection system

G Sah, S Banerjee, MP Dutta - International Journal of …, 2022 - inderscienceonline.com
One of the most significant requirements for improving the accuracy and performance of the
detection engine in an intrusion detection system (IDS) is to identify and pick just the most …

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 …