Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

Integrating blockchain technology with internet of things to efficiency

N Alsharari - … of Technology, Innovation and Management (IJTIM …, 2021 - journals.gaftim.com
The research study focused on integrating blockchain technology with the internet of things.
The study is necessitated by the need to come up with practical and feasible means to …

Improving IoT privacy, data protection and security concerns

C Lee, G Ahmed - International Journal of Technology …, 2021 - journals.gaftim.com
IoT has continued to evolve over the years with a promise to provide the users with effective
means to interact, communicate, transact and create strong relationship. The invention and …

The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)

F Firouzi, B Farahani, A Marinšek - Information Systems, 2022 - Elsevier
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Artificial intelligence-based internet of things for industry 5.0

B Chander, S Pal, D De, R Buyya - Artificial intelligence-based internet of …, 2022 - Springer
Abstract In Industry 5.0 paradigm, AI-based systems are the essential component for the
Internet of Things. In most applications, Industry 5.0 showed a significant connection …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Deep reinforcement learning for autonomous internet of things: Model, applications and challenges

L Lei, Y Tan, K Zheng, S Liu, K Zhang… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …

[HTML][HTML] Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies

NA Angel, D Ravindran, PMDR Vincent, K Srinivasan… - Sensors, 2021 - mdpi.com
Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

Threat of adversarial attacks on DL-based IoT device identification

Z Bao, Y Lin, S Zhang, Z Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid development of the information technology, the number of devices in the
Internet of Things (IoT) is increasing explosively, which makes device identification a great …