Federated deep reinforcement learning based secure data sharing for Internet of Things
The increasing number of Internet of Things (IoT) devices motivate the data sharing that
improves the quality of IoT services. However, data providers usually suffer from the privacy …
improves the quality of IoT services. However, data providers usually suffer from the privacy …
A differential privacy-based classification system for edge computing in IoT
Abstract The blooming Internet of Things (IoTs) devices have brought many new types of
sensing applications and methods to the traditional cloud-enabled IoTs framework. Hence …
sensing applications and methods to the traditional cloud-enabled IoTs framework. Hence …
A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing
W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
[HTML][HTML] An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things
With the development of the Internet of Things (IoT), the massive data sharing between IoT
devices improves the Quality of Service (QoS) and user experience in various IoT …
devices improves the Quality of Service (QoS) and user experience in various IoT …
Privacy-preserving QoI-aware participant coordination for mobile crowdsourcing
Mobile crowdsourcing systems are important sources of information for the Internet of Things
(IoT) such as gathering location related sensing data for various applications by employing …
(IoT) such as gathering location related sensing data for various applications by employing …
[HTML][HTML] Privacy preservation using machine learning in the internet of things
The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …
everything is interconnected, and information exchange has become more easily accessible …
P2TA: Privacy-preserving task allocation for edge computing enhanced mobile crowdsensing
H Shen, G Bai, Y Hu, T Wang - Journal of Systems Architecture, 2019 - Elsevier
In conventional mobile crowdsensing (MCS) applications, the crowdsensing server (CS-
server) needs mobile users' precise locations for optimal task allocation, which raises …
server) needs mobile users' precise locations for optimal task allocation, which raises …
Privacy-preserving quality prediction for edge-based IoT services
Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
IFed: A novel federated learning framework for local differential privacy in Power Internet of Things
H Cao, S Liu, R Zhao, X Xiong - International Journal of …, 2020 - journals.sagepub.com
Nowadays, wireless sensor network technology is being increasingly popular which is
applied to a wide range of Internet of Things. Especially, Power Internet of Things is an …
applied to a wide range of Internet of Things. Especially, Power Internet of Things is an …
A security-and privacy-preserving approach based on data disturbance for collaborative edge computing in social IoT systems
The Internet of things (IoT) has certainly become one of the hottest technology frameworks of
the year. It is deep in many industries, affecting people's lives in all directions. The rapid …
the year. It is deep in many industries, affecting people's lives in all directions. The rapid …