A comparative study on various intrusion detection techniques using machine learning and neural network

V Bhatia, S Choudhary… - 2020 8th International …, 2020 - ieeexplore.ieee.org
Security is of great concern these days as a large amount of data is being transmitted every
hour in each domain. This paper provides an explained survey on the prevention and …

Intrusion detection system using machine learning techniques: A review

US Musa, M Chhabra, A Ali… - … international conference on …, 2020 - ieeexplore.ieee.org
The rapid growth in the use of computer networks results in the issues of maintaining the
network availability, integrity, and confidentiality. This necessitates the network …

Machine learning based intrusion detection framework using recursive feature elimination method

JDS WS, B Parvathavarthini - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Intrusion detection has a prominent part for ensuring the information security. Machine
learning approaches are followed to detect intrusion or anomaly of a network. The network …

A systematic literature review of intrusion detection system for network security: Research trends, datasets and methods

R Ferdiana - … 4th International Conference on Informatics and …, 2020 - ieeexplore.ieee.org
Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …

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 …

Intrusion detection system using deep neural networks (DNN)

VK Navya, J Adithi, D Rudrawal… - … on Advancements in …, 2021 - ieeexplore.ieee.org
Intrusions are quite a frequent scare especially with the exponential growth in improvement
of technology. This project aims to detect such intrusions using certain algorithms in the …

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 …

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 comprehensive survey on various machine learning methods used for intrusion detection system

AR bhai Gupta, J Agrawal - 2020 IEEE 9th International …, 2020 - ieeexplore.ieee.org
With the advance in technology, now a day's cyber-attack is more sophisticated which is not
easily detected by the any intrusion detection system (IDS). Since most of the user store their …

Intelligent intrusion detection system using deep learning technique

A Henry, S Gautam - International Conference on Computing …, 2022 - Springer
There is constant growth in the digitization of information across the world. However, this
rapid growth has raised concerns over the security of the information. Today's internet is …