A performance comparison of machine learning approaches on intrusion detection dataset

VS Manvith, RV Saraswathi… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The network is a prominent aspect of communication. The network facilitates devices to
exchange information between individuals and led to massive growth in the networking field …

A review on deep learning method for intrusion detection in network security

S Shende, S Thorat - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
In recent past, the evolution of enormous communication and many internet applications are
run on the top of internet by considering cyber security as the important parameter …

Intrusion detection system framework using machine learning

G Yedukondalu, GH Bindu, J Pavan… - … inventive research in …, 2021 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is one of the most important security tool for many security
issues that are prevailing in today's cyber world. Intrusion Detection System is designed to …

An estimation of machine learning approaches for intrusion detection system

P Tahiri, S Sonia, P Jain, G Gupta… - 2021 International …, 2021 - ieeexplore.ieee.org
IDS is a machine approach that can prevent or analyze network attacks. An attacker would
concession the confidentiality, availability, and integrity of network resources. Due to these …

Performance comparison of intrusion detection system using three different machine learning algorithms

ZK Ibrahim, MY Thanon - 2021 6th international conference on …, 2021 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) are essential for Network Security in order to control the
network and also to analyze the incoming network traffic. With the existence of a huge …

A feature selection based DNN for intrusion detection system

LH Li, R Ahmad, WC Tsai… - 2021 15th International …, 2021 - ieeexplore.ieee.org
The goal of networking has the idea of “resource sharing” and “communication” in a
convenient way. However, more convenience services are provided, more problems of …

A comprehensive survey for machine learning and deep learning applications for detecting intrusion detection

OM Surakhi, AM García, M Jamoos… - … Arab Conference on …, 2021 - ieeexplore.ieee.org
The rapid development in computer network and internet have resulted in increased
corresponding data and network attacks. Many novels and improvement technologies have …

A Study of Intrusion Detection System using Machine Learning Classification Algorithm based on different feature selection approach

P Illavarason, BK Sundaram - … conference on I-SMAC (IoT in …, 2019 - ieeexplore.ieee.org
Network security is the most challenging task of the modern digital era. Due to the
development in internet, the number of network attacks has also increased, this is prevented …

A review on intrusion detection system using machine learning techniques

US Musa, S Chakraborty… - 2021 International …, 2021 - ieeexplore.ieee.org
Computer networks are exposed to cyber related attacks due to the common usage of
internet, as the result of such, several intrusion detection systems (IDSs) were proposed by …

Machine learning techniques for network-based intrusion detection system: a survey paper

LAH Ahmed, YAM Hamad - 2021 National Computing Colleges …, 2021 - ieeexplore.ieee.org
The rapid growth of Internet technologies and further dependence on online services,
increase the demand for keeping these networks and data secure. The protection of online …