Enhancing network intrusion detection using an ensemble voting classifier for internet of things

AH Farooqi, S Akhtar, H Rahman, T Sadiq, W Abbass - Sensors, 2023 - mdpi.com
In the context of 6G technology, the Internet of Everything aims to create a vast network that
connects both humans and devices across multiple dimensions. The integration of smart …

A hybrid spider monkey and hierarchical particle swarm optimization approach for intrusion detection on Internet of Things

S Ethala, A Kumarappan - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) network integrates physical objects such as sensors, networks,
and electronics with software to collect and exchange data. Physical objects with a unique IP …

[HTML][HTML] A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

R Anushiya, VS Lavanya - Measurement: Sensors, 2023 - Elsevier
Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT
devices are nonetheless susceptible to different cyber-attacks launched by the attacker …

A lightweight intelligent network intrusion detection system using one-class autoencoder and ensemble learning for IoT

W Yao, L Hu, Y Hou, X Li - Sensors, 2023 - mdpi.com
Network intrusion detection technology is key to cybersecurity regarding the Internet of
Things (IoT). The traditional intrusion detection system targeting Binary or Multi …

Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM

AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …

A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network

YK Saheed, AA Usman, FD Sukat… - Frontiers in Computer …, 2023 - frontiersin.org
The Internet of Things (IoT) represents a paradigm shift in which the Internet is connected to
real objects in a range of areas, including home automation, industrial processes, human …

Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things

K Pramilarani, PV Kumari - Applied Soft Computing, 2024 - Elsevier
Abstract Internet of Things (IoT) is the collection of physical and digital devices that are
interconnected using Internet for exchange of information and delivery of services. The …

A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

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 …

Intrusion Attack Detection Using Firefly Optimization Algorithm and Ensemble Classification Model

R Gangula, MM Vutukuru… - Wireless Personal …, 2023 - Springer
In recent decades, the Internet of Things (IoTs) based network intrusion detection (ID)
remains a challenging research topic. Currently, several machine-learning methodologies …