A secure mobile crowdsensing game with deep reinforcement learning

L Xiao, Y Li, G Han, H Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is vulnerable to faked sensing attacks, as selfish smartphone
users sometimes provide faked sensing results to the MCS server to save their sensing costs …

DeePGA: A privacy-preserving data aggregation game in crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan, J Xu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The Internet of Things has such a profound impact that we have witnessed crowdsensing
has emerged as the most popular sensing paradigm where participants sense and …

Secure mobile crowdsensing based on deep learning

L Xiao, D Jiang, D Xu, W Su, N An… - China …, 2018 - ieeexplore.ieee.org
To improve the quality of multimedia services and stimulate secure sensing in Internet of
Things applications, such as healthcare and traffic monitoring, mobile crowdsensing (MCS) …

A blockchain-based reward mechanism for mobile crowdsensing

J Hu, K Yang, K Wang, K Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a novel sensing scenario of cyber-physical-social systems.
MCS has been widely adopted in smart cities, personal health care, and environment …

Game theory in mobile crowdsensing: A comprehensive survey

VS Dasari, B Kantarci, M Pouryazdan, L Foschini… - Sensors, 2020 - mdpi.com
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 …

Free market of multi-leader multi-follower mobile crowdsensing: An incentive mechanism design by deep reinforcement learning

Y Zhan, CH Liu, Y Zhao, J Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The explosive increase of mobile devices with built-in sensors such as GPS, accelerometer,
gyroscope and camera has made the design of mobile crowdsensing (MCS) applications …

A trust-driven contract incentive scheme for mobile crowd-sensing networks

M Dai, Z Su, Q Xu, Y Wang, N Lu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By leveraging the power of crowd, the prevalence of mobile devices in mobile crowd-
sensing (MCS) networks helps and provides a wide range of sensing services through …

An incentive mechanism design for mobile crowdsensing with demand uncertainties

Y Zhan, Y Xia, J Zhang, T Li, Y Wang - Information Sciences, 2020 - Elsevier
Mobile crowdsensing (MCS) has shown great potential in addressing large-scale data
sensing problem by allocating sensing tasks to pervasive mobile users (MU). The MUs will …

Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems

B Gu, X Yang, Z Lin, W Hu, M Alazab… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is an appealing sensing paradigm that leverages the sensing
capabilities of smart devices and the inherent mobility of device owners to accomplish …

An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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 …