Voting-based ensemble learning approach for cyber attacks detection in Industrial Internet of Things

R Golchha, A Joshi, GP Gupta - Procedia Computer Science, 2023 - Elsevier
Abstract The Industrial Internet of Things (IIoT) is a fast developing interconnection of smart
technologies that have revolutionised the way the industries work by combining sensors and …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

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 …

[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

Industrial internet of things intrusion detection method using machine learning and optimization techniques

T Gaber, JB Awotunde, SO Folorunso… - Wireless …, 2023 - Wiley Online Library
The emergence of the Internet of Things (IoT) has witnessed immense growth globally with
the use of various devices found in home, transportation, healthcare, and industry. The …

A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Ensemble filter-based feature selection model for cyber attack detection in industrial Internet of Things

L Arya, GP Gupta - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) has been recently observed to be a more vulnerable target
for different kinds of cyber-attacks. Most of the attack detection systems that are designed …

A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms

RV Mendonça, JC Silva, RL Rosa, M Saadi… - Expert …, 2022 - Wiley Online Library
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …