Intrusion detection by machine learning: A review

CF Tsai, YF Hsu, CY Lin, WY Lin - expert systems with applications, 2009 - Elsevier
The popularity of using Internet contains some risks of network attacks. Intrusion detection is
one major research problem in network security, whose aim is to identify unusual access or …

A survey of intrusion detection systems based on ensemble and hybrid classifiers

AA Aburomman, MBI Reaz - Computers & security, 2017 - Elsevier
Due to the frequency of malicious network activities and network policy violations, intrusion
detection systems (IDSs) have emerged as a group of methods that combats the …

MLEsIDSs: machine learning-based ensembles for intrusion detection systems—a review

G Kumar, K Thakur, MR Ayyagari - The Journal of Supercomputing, 2020 - Springer
Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

[PDF][PDF] Application of machine learning approaches in intrusion detection system: a survey

NF Haq, AR Onik, MAK Hridoy… - IJARAI …, 2015 - pdfs.semanticscholar.org
Network security is one of the major concerns of the modern era. With the rapid development
and massive usage of internet over the past decade, the vulnerabilities of network security …

A study of network intrusion detection systems using artificial intelligence/machine learning

P Vanin, T Newe, LL Dhirani, E O'Connell, D O'Shea… - Applied Sciences, 2022 - mdpi.com
The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …

A detailed investigation and analysis of using machine learning techniques for intrusion detection

P Mishra, V Varadharajan… - … surveys & tutorials, 2018 - ieeexplore.ieee.org
Intrusion detection is one of the important security problems in todays cyber world. A
significant number of techniques have been developed which are based on machine …

A review on challenges and future research directions for machine learning-based intrusion detection system

A Thakkar, R Lohiya - Archives of Computational Methods in Engineering, 2023 - Springer
Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …

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 based on machine learning techniques in computer networks

AS Dina, D Manivannan - Internet of Things, 2021 - Elsevier
Intrusions in computer networks have increased significantly in the last decade, due in part
to a profitable underground cyber-crime economy and the availability of sophisticated tools …

[PDF][PDF] Survey on intrusion detection system using machine learning techniques

SK Wagh, VK Pachghare, SR Kolhe - International Journal of …, 2013 - academia.edu
In today's world, almost everybody is affluent with computers and network based technology
is growing by leaps and bounds. So, network security has become very important, rather an …