[HTML][HTML] Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing

D Ma, D Kong, X Chen, L Zhang, M Yuan - Frontiers in Neurorobotics, 2022 - frontiersin.org
In the recent years, with the rapid development of science and technology, robot location-
based service (RLBS) has become the main application service on mobile intelligent …

Accurate and privacy-preserving task allocation for edge computing assisted mobile crowdsensing

Z Wang, C Guo, J Liu, J Zhang, Y Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has heated up and has become a new paradigm of data
collection. In the process of the task allocation of MCS, users are often required to provide …

A Personalized Location Privacy Protection System in Mobile Crowdsourcing

C Zhang, Y Wang, W Wang, H Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid progression of Mobile Crowdsourcing (MCS) technology, its growing
influence in our daily lives has established it as a crucial component of modern society …

The novel location privacy-preserving CKD for mobile crowdsourcing systems

Z Chi, Y Wang, Y Huang, X Tong - IEEE Access, 2017 - ieeexplore.ieee.org
With the development of mobile devices, mobile crowdsourcing has become the research
hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of …

Personalized privacy-preserving task allocation for mobile crowdsensing

Z Wang, J Hu, R Lv, J Wei, Q Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Location information of workers are usually required for optimal task allocation in mobile
crowdsensing, which however raises severe concerns of location privacy leakage. Although …

A location privacy protection method in spatial crowdsourcing

F Song, T Ma - Journal of Information Security and Applications, 2022 - Elsevier
Spatial crowdsourcing is widely used in our daily life, via applications such as DiDi, Uber.
With the popularity of smart phone, this paradigm will be more and more popular. However …

ELPPS: an enhanced location privacy preserving scheme in mobile crowd-sensing network based on edge computing

M Li, Y Li, L Fang - 2020 IEEE 19th International Conference on …, 2020 - ieeexplore.ieee.org
Mobile Crowd-Sensing (MCS) is gradually extended to the edge network to reduce the delay
of data transmission and improve the ability of data processing. However, a challenge is that …

Location protection method for mobile crowd sensing based on local differential privacy preference

J Wang, Y Wang, G Zhao, Z Zhao - Peer-to-Peer Networking and …, 2019 - Springer
In view of the location privacy problem of participants in mobile crowd sensing, this paper
proposes a method to protect the location of participants based on local differential privacy …

Location Privacy Preservation Crowdsensing with Federated Reinforcement Learning

Z You, X Dong, X Liu, S Gao, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Crowdsensing has become a popular method of sensing data collection while facing the
problem of protecting participants' location privacy. Existing location-privacy crowdsensing …

Two-attribute privacy protection method of MCS based on blockchain smart contract

J Wang, G Liu, G Zhao - Computer Communications, 2022 - Elsevier
In view of the problem of privacy leakage caused by the centralized location privacy
protection method in mobile crowd sensing, a privacy protection method based on …