Game theory in mobile crowdsensing: A comprehensive survey
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
Data security and privacy in cloud computing: concepts and emerging trends
Millions of users across the world leverages data processing and sharing benefits from
cloud environment. Data security and privacy are inevitable requirement of cloud …
cloud environment. Data security and privacy are inevitable requirement of cloud …
A privacy-preserving aggregation scheme based on negative survey for vehicle fuel consumption data
W Yang, X Chen, Z Xiong, Z Xu, G Liu, X Zhang - Information sciences, 2021 - Elsevier
The vehicle fuel consumption gauge is a vehicle's basic device that usually records the
instantaneous as well as average fuel consumption of the vehicle, which brings a lot of …
instantaneous as well as average fuel consumption of the vehicle, which brings a lot of …
Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining
D Dhinakaran, PMJ Prathap - The Journal of Supercomputing, 2022 - Springer
The confidential data is mainly managed by creating passwords, tokens, and unique
identifiers in an authorized manner. These records must be kept in a safe location away from …
identifiers in an authorized manner. These records must be kept in a safe location away from …
CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT
J Xiong, M Zhao, MZA Bhuiyan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …
devices provides an economic and efficient solution to participation in coordinated large …
Secure data aggregation of lightweight E-healthcare IoT devices with fair incentives
W Tang, J Ren, K Deng, Y Zhang - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With rapid development of e-healthcare systems, patients that are equipped with resource-
limited e-healthcare devices (Internet of Things) generate huge amount of health data for …
limited e-healthcare devices (Internet of Things) generate huge amount of health data for …
LDP-IDS: Local differential privacy for infinite data streams
X Ren, L Shi, W Yu, S Yang, C Zhao, Z Xu - Proceedings of the 2022 …, 2022 - dl.acm.org
Local differential privacy (LDP) is promising for private streaming data collection and
analysis. However, existing few LDP studies over streams either apply to finite streams only …
analysis. However, existing few LDP studies over streams either apply to finite streams only …
An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …
computing capabilities increases dramatically, paving the way toward an emerging …
Towards personalized privacy-preserving incentive for truth discovery in mobile crowdsensing systems
Incentive mechanisms are essential for stimulating adequate worker participation to achieve
good truth discovery performance in mobile crowdsensing (MCS) systems. However, most of …
good truth discovery performance in mobile crowdsensing (MCS) systems. However, most of …