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Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
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 …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things
S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
[HTML][HTML] Towards an intelligent intrusion detection system to detect malicious activities in cloud computing
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …
such as scalability and flexibility. However, despite these advantages, security concerns …
Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques
Intrusion detection in industrial control systems (ICS) is crucial for maintaining secu rity in
modern industries. However, the rapid growth of data generated from various sources …
modern industries. However, the rapid growth of data generated from various sources …
The combination of blockchain and the internet of things (iot): applications, opportunities, and challenges for industry
The utilization of blockchain technology is becoming increasingly prevalent in both
academia and industry due to its decentralized and distributed nature, which offers …
academia and industry due to its decentralized and distributed nature, which offers …
Meta-IDS: meta-learning based smart intrusion detection system for internet of medical things (IoMT) network
The Internet of Medical Things (IoMT) plays a crucial role in advancing smart healthcare by
facilitating the real-time collection and processing of medical data. These interconnected …
facilitating the real-time collection and processing of medical data. These interconnected …
Toward an intrusion detection model for IoT-based smart environments
C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2024 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …
across the world. They provide remote device monitoring, management, and control, and …
A self-attention-based deep convolutional neural networks for IIoT networks intrusion detection
The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an
extensive range of communication protocols. Hence, these systems face susceptibility to …
extensive range of communication protocols. Hence, these systems face susceptibility to …
Intrusion detection based on ensemble learning for big data classification
The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …
SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks
In the world of connected devices, there is huge growth of less secure Internet of Things
(IoT) devices, and the ease of performing sophisticated cyberattacks using these devices …
(IoT) devices, and the ease of performing sophisticated cyberattacks using these devices …