Intrusion detection system through advance machine learning for the internet of things networks

T Saba, T Sadad, A Rehman, Z Mehmood… - IT …, 2021 - ieeexplore.ieee.org
Network security is the main issue in the Internet of Things networks because most
manufacturers do not focus on security standards during design. The performance of …

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 …

Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …

Recursive feature elimination with cross-validation with decision tree: Feature selection method for machine learning-based intrusion detection systems

M Awad, S Fraihat - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
The frequency of cyber-attacks on the Internet of Things (IoT) networks has significantly
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection

JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

A novel adaptive network intrusion detection system for internet of things

P Aravamudhan - Plos one, 2023 - journals.plos.org
Cyber-attack is one of the most challenging aspects of information technology. After the
emergence of the Internet of Things, which is a vast network of sensors, technology started …

Intrusion detection model for IoT using recurrent kernel convolutional neural network

CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …

Supervised machine learning based network intrusion detection system for Internet of Things

D Rani, NC Kaushal - 2020 11th International conference on …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is an innovative invention that can combine physical object to the
Internet with an ability to transfer and access of the data through Internet, however with the …