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 …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

A survey on intrusion detection system using machine learning algorithms

S Gulghane, V Shingate, S Bondgulwar… - … and Application: ICIDCA …, 2020 - Springer
IDS play significant role in the computer network and system. Now a days, research on the
intrusion detection that has been use of machine learning applications. This paper proposes …

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 review of intrusion detection system in IoT with machine learning approach: current and future research

EP Nugroho, T Djatna, IS Sitanggang… - … on science in …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) devices with their network services are often vulnerable to attacks
because they are not designed for security. Especially with the rapid technological advances …

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 …

[PDF][PDF] Hybrid intrusion detection system for internet of things (IoT)

S Smys, A Basar, H Wang - Journal of ISMAC, 2020 - scholar.archive.org
Internet of things (IoT) is a promising solution to connect and access every device through
internet. Every day the device count increases with large diversity in shape, size, usage and …

Deep IDS: A deep learning approach for Intrusion detection based on IDS 2018

A Dey - 2020 2nd International Conference on Sustainable …, 2020 - ieeexplore.ieee.org
Intrusion Detection is one of the fields network security important for industry 4.0. Applying
deep learning models opened a new scope in this field. But availability of latest data set and …

A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering

S Ullah, J Ahmad, MA Khan, EH Alkhammash… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a widely used technology in automated network systems
across the world. The impact of the IoT on different industries has occurred in recent years …

Effective attack detection in internet of medical things smart environment using a deep belief neural network

S Manimurugan, S Al-Mutairi, MM Aborokbah… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has lately developed into an innovation for developing smart
environments. Security and privacy are viewed as main problems in any technology's …