When machine learning meets privacy in 6G: A survey
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
Energy and information management of electric vehicular network: A survey
The connected vehicle paradigm empowers vehicles with the capability to communicate with
neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool …
neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool …
Machine learning in the Internet of Things: Designed techniques for smart cities
Abstract Machine learning is one of the emerging technologies that has grabbed the
attention of academicians and industrialists, and is expected to evolve in the near future …
attention of academicians and industrialists, and is expected to evolve in the near future …
Online generative adversary network based measurement recovery in false data injection attacks: A cyber-physical approach
Y Li, Y Wang, S Hu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
State estimation plays a critical role in maintaining operational stability of a power system,
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …
[HTML][HTML] Smart water consumption measurement system for houses using IoT and cloud computing
H Fuentes, D Mauricio - Environmental Monitoring and Assessment, 2020 - Springer
Presently, in several parts of the world, water consumption is not measured or visualized in
real time, in addition, water leaks are not detected in time and with high precision …
real time, in addition, water leaks are not detected in time and with high precision …
A data mining-driven incentive-based demand response scheme for a virtual power plant
Given the increasing prevalence of smart grids, the introduction of demand-side participation
and distributed energy resources (DERs) has great potential for eliminating peak loads, if …
and distributed energy resources (DERs) has great potential for eliminating peak loads, if …
Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce
H Pan, H Zhou - Electronic Commerce Research, 2020 - Springer
In recent years, the rapid development of e-commerce has brought great convenience to
people. Compared with traditional business environment, e-commerce is more dynamic and …
people. Compared with traditional business environment, e-commerce is more dynamic and …
Blockchain-based anomaly detection of electricity consumption in smart grids
The big data generated by Industry 4.0 is expected to increase 20-fold in the next ten years
and it has raised various challenges in Industrial Wireless Sensor Networks (IWSNs) …
and it has raised various challenges in Industrial Wireless Sensor Networks (IWSNs) …
A survey on privacy for B5G/6G: New privacy challenges, and research directions
Massive developments in mobile wireless telecommunication networks have been made
during the last few decades. At present, mobile users are getting familiar with the latest 5G …
during the last few decades. At present, mobile users are getting familiar with the latest 5G …
Smart applications in edge computing: Overview on authentication and data security
As a new computing paradigm, edge computing has appeared in the public field of vision
recently. Owing to its advantages of low delay and fast response, edge computing has …
recently. Owing to its advantages of low delay and fast response, edge computing has …