Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

M Nuaimi, LC Fourati, BB Hamed - Journal of Network and Computer …, 2023 - Elsevier
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …

[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks

HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

A machine learning based credit card fraud detection using the GA algorithm for feature selection

E Ileberi, Y Sun, Z Wang - Journal of Big Data, 2022 - Springer
The recent advances of e-commerce and e-payment systems have sparked an increase in
financial fraud cases such as credit card fraud. It is therefore crucial to implement …

An ensemble framework with improved hybrid breeding optimization-based feature selection for intrusion detection

Z Ye, J Luo, W Zhou, M Wang, Q He - Future Generation Computer Systems, 2023 - Elsevier
Intrusion detection is a proactive means to detect network attacks and has been a hot point
in network security. To address the curse of dimensionality and improve the Intrusion …

An ensemble learning based intrusion detection model for industrial IoT security

M Mohy-Eddine, A Guezzaz… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …

A regularized cross-layer ladder network for intrusion detection in industrial internet of things

J Long, W Liang, KC Li, Y Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As part of Big Data trends, the ubiquitous use of the Internet of Things (IoT) in the industrial
environment has generated a significant amount of network traffic. In this type of IoT …

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey

S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …

An effective intrusion detection approach based on ensemble learning for IIoT edge computing

M Mohy-Eddine, A Guezzaz, S Benkirane… - Journal of Computer …, 2023 - Springer
Abstract The Internet of Things (IoT) has recently gained immense popularity. IoT is a set of
devices that compute, communicate with each other, and consist of a vast network. Industrial …

An efficient optimal security system for intrusion detection in cloud computing environment using hybrid deep learning technique

M Mayuranathan, SK Saravanan, B Muthusenthil… - … in Engineering Software, 2022 - Elsevier
Users have been urged to embrace a cloud-based environment by recent technologies and
advancements. Because of the dispersed nature of cloud solutions, security is a major …

Network intrusion detection system by applying ensemble model for smart home.

M Amru, RJ Kannan, EN Ganesh… - … Journal of Electrical …, 2024 - search.ebscohost.com
The exponential advancements in recent technologies for surveillance become an important
part of life. Though the internet of things (IoT) has gained more attention to develop smart …