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Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review
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 …
(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
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 …
internet and cloud-based technologies in the industrial area. IoT technology used in the …
[HTML][HTML] Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT
Some of the significant new technologies researched in recent studies include BlockChain
(BC), Software Defined Networking (SDN), and Smart Industrial Internet of Things (IIoT). All …
(BC), Software Defined Networking (SDN), and Smart Industrial Internet of Things (IIoT). All …
An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …
manifesting miraculous effectuation to revolutionize conventional means of network …
A regularized cross-layer ladder network for intrusion detection in industrial internet of things
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 …
environment has generated a significant amount of network traffic. In this type of IoT …
FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks
WI Khedr, AE Gouda, ER Mohamed - Ieee Access, 2023 - ieeexplore.ieee.org
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …
security and privacy concerns more acute. Attacks such as distributed denial of service …
Towards smarter cyberthreats detection model for industrial Internet of Things (IIoT) 4.0
Abstract Recently, Artificial Intelligence (AI) has been applied to the Internet of Things (IoT)
as well as Industrial IoT 4.0 (IIoT). This has improved the autonomous behavior of smart …
as well as Industrial IoT 4.0 (IIoT). This has improved the autonomous behavior of smart …
An improved mutual information feature selection technique for intrusion detection systems in the Internet of Medical Things
M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …
FL_GIoT: federated learning enabled edge-based green Internet of Things system: a comprehensive survey
In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …