Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last
decade in various applications. The smart things are connected in wireless or wired for …
decade in various applications. The smart things are connected in wireless or wired for …
Blockchain-empowered space-air-ground integrated networks: Opportunities, challenges, and solutions
The terrestrial networks face the challenges of severe cost inefficiency and low feasibility to
provide seamless services anytime and anywhere, especially in the extreme or hotspot …
provide seamless services anytime and anywhere, especially in the extreme or hotspot …
Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things
Nowadays, driven by the rapid development of smart mobile equipments and 5G network
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
A review on security of smart farming and precision agriculture: Security aspects, attacks, threats and countermeasures
In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention
from both the agriculture industry as well as the research community. Altogether, SF and PA …
from both the agriculture industry as well as the research community. Altogether, SF and PA …
Deep reinforcement learning based resource management for DNN inference in industrial IoT
Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …
resources, which poses a big challenge to the resource-limited industrial Internet of things …
A review of security and privacy concerns in the internet of things (IoT)
The recent two decades have witnessed tremendous growth in Internet of things (IoT)
applications. There are more than 50 billion devices connected globally. IoT applications' …
applications. There are more than 50 billion devices connected globally. IoT applications' …
Intelligent signal classification in industrial distributed wireless sensor networks based industrial internet of things
In industrial sensor networks, complex industrial environments may be encountered leading
to a mix of signals of different types. Complicated interference caused by mixed signals on …
to a mix of signals of different types. Complicated interference caused by mixed signals on …
Deep learning based plant disease detection for smart agriculture
Deep learning is a promising approach for fine-grained disease severity classification for
smart agriculture, as it avoids the labor-intensive feature engineering and segmentation …
smart agriculture, as it avoids the labor-intensive feature engineering and segmentation …
Physical-layer authentication for Internet of Things via WFRFT-based Gaussian tag embedding
Internet of Things (IoT) is regarded as the fundamental platform for many emerging services,
such as smart city, smart home, and intelligent transportation systems. With ever-increasing …
such as smart city, smart home, and intelligent transportation systems. With ever-increasing …