Performance analysis of machine learning algorithms in intrusion detection system: A review

T Saranya, S Sridevi, C Deisy, TD Chung… - Procedia Computer …, 2020 - Elsevier
The rapid growth of technologies not only formulates life easier but also exposes a lot of
security issues. With the advancement of the Internet over years, the number of attacks over …

A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

A Thakkar, R Lohiya - Artificial Intelligence Review, 2022 - Springer
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

Effectiveness of machine learning based intrusion detection systems

M Alrowaily, F Alenezi, Z Lu - … , SpaCCS 2019, Atlanta, GA, USA, July 14 …, 2019 - Springer
Security is the most significant issue in concerns of protecting information or data breaches.
Furthermore, attackers present a new variety of cyber-attacks in the market, which prevent …

Machine learning-based intrusion detection system: an experimental comparison

I Hidayat, MZ Ali, A Arshad - Journal of Computational and …, 2023 - ojs.bonviewpress.com
Recently, networks are moving toward automation and getting more and more intelligent.
With the advent of big data and cloud computing technologies, lots and lots of data are being …

Design an intrusion detection system based on feature selection using ML algorithms

S Venkatesan - Mathematical Statistician and Engineering Applications, 2023 - philstat.org
With the development of the Internet and Technology, cyber-attacks are growing rapidly thus
cyber security is an important aspect which needs to be given attention. There are several …

Machine learning methods for cyber security intrusion detection: Datasets and comparative study

IF Kilincer, F Ertam, A Sengur - Computer Networks, 2021 - Elsevier
The increase in internet usage brings security problems with it. Malicious software can affect
the operation of the systems and disrupt data confidentiality due to the security gaps in the …

[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 …

Classification of intrusion detection using data mining techniques

R Sahani, Shatabdinalini, C Rout… - Progress in Computing …, 2018 - Springer
Nowadays, Internet became a common way for communication as well as a key path for
business. Due to the rapid use of Internet, its security aspect is turn more important day by …

[HTML][HTML] Classification model for accuracy and intrusion detection using machine learning approach

A Agarwal, P Sharma, M Alshehri, AA Mohamed… - PeerJ Computer …, 2021 - peerj.com
In today's cyber world, the demand for the internet is increasing day by day, increasing the
concern of network security. The aim of an Intrusion Detection System (IDS) is to provide …

A review of the advancement in intrusion detection datasets

A Thakkar, R Lohiya - Procedia Computer Science, 2020 - Elsevier
The research in the field of Cyber Security has raised the need to address the issue of
cybercrimes that have caused the requisition of the intellectual properties such as break …