Machine learning approaches to IoT security: A systematic literature review
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
A Shakarami, M Ghobaei-Arani, A Shahidinejad - Computer Networks, 2020 - Elsevier
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …
Blockchain for the internet of vehicles towards intelligent transportation systems: A survey
Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of
intelligent transportation systems (ITSs). IoV has become an important research area of …
intelligent transportation systems (ITSs). IoV has become an important research area of …
Deep learning in security of internet of things
Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …
development. All walks of life have begun to implement the IoT integration technology, so as …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Edge computing with artificial intelligence: A machine learning perspective
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 …
providing sufficient data for model training and inference, IoT has promoted the development …
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 …
Differential privacy for industrial internet of things: Opportunities, applications, and challenges
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
Deep learning in smart grid technology: A review of recent advancements and future prospects
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …
a promising landscape for high grid reliability and efficient energy management. This …