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Cyber-physical systems security: Limitations, issues and future trends
Abstract Typically, Cyber-Physical Systems (CPS) involve various interconnected systems,
which can monitor and manipulate real objects and processes. They are closely related to …
which can monitor and manipulate real objects and processes. They are closely related to …
A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …
proliferation in many areas such as wearable devices, smart sensors and home appliances …
[HTML][HTML] A blockchain-orchestrated deep learning approach for secure data transmission in IoT-enabled healthcare system
The integration of the Internet of Things (IoT) with traditional healthcare systems has
improved quality of healthcare services. However, the wearable devices and sensors used …
improved quality of healthcare services. However, the wearable devices and sensors used …
PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of
urbanization. IoT networks allow distributed smart devices to collect and process data within …
urbanization. IoT networks allow distributed smart devices to collect and process data within …
The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning
With the advancement in sensor technology and the proliferation of low-cost electronic
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …
A privacy-preserving-based secure framework using blockchain-enabled deep-learning in cooperative intelligent transport system
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
P2tif: A blockchain and deep learning framework for privacy-preserved threat intelligence in industrial iot
The industrial Internet of Things (IIoT) is a fast-growing network of Internet-connected
sensing and actuating devices aimed to enhance manufacturing and industrial operations …
sensing and actuating devices aimed to enhance manufacturing and industrial operations …
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …