Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey

JW Kim, K Edemacu, B Jang - Journal of Network and Computer …, 2022 - Elsevier
With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

A comprehensive survey on mobile crowdsensing systems

D Suhag, V Jha - Journal of Systems Architecture, 2023 - Elsevier
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …

BSIF: Blockchain-based secure, interactive, and fair mobile crowdsensing

W Wang, Y Yang, Z Yin, K Dev, X Zhou… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Given the explosive growth of portable devices, mobile crowdsensing (MCS) is becoming an
essential approach that fully utilizes pervasive idle resources to accomplish sensing tasks …

Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing

J Ni, K Zhang, Q Xia, X Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …

PACE: Privacy-preserving and quality-aware incentive mechanism for mobile crowdsensing

B Zhao, S Tang, X Liu, X Zhang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
Providing appropriate monetary rewards is an efficient way for mobile crowdsensing to
motivate the participation of task participants. However, a monetary incentive mechanism is …

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 …

Security and privacy preservation in fog-based crowd sensing on the internet of vehicles

G Sun, S Sun, J Sun, H Yu, X Du, M Guizani - Journal of Network and …, 2019 - Elsevier
The emergence of fog computing enables fog-based vehicle crowd sensing (FBVC) to be
utilized in various fields. However, existing privacy issues represent a primary challenge that …

If you do not care about it, sell it: Trading location privacy in mobile crowd sensing

W Jin, M Xiao, M Li, L Guo - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) is a technique where sensing tasks are outsourced to a crowd
of mobile users. Since most of sensing tasks are location-dependent, workers are required …

APIS: Privacy-preserving incentive for sensing task allocation in cloud and edge-cooperation mobile Internet of Things with SDN

Q Xu, Z Su, M Dai, S Yu - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The popularization of mobile devices connected to the network promotes the rise and
development of the emerging mobile Internet of Things (MIoT). Crowdsensing is a promising …

Privacy preserving participant recruitment for coverage maximization in location aware mobile crowdsensing

L Li, D Shi, X Zhang, R Hou, H Yue… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile crowdsensing has emerged as a promising paradigm where location-based sensing
tasks are outsourced to mobile participants carrying sensor-equipped devices. A critical …