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 …

Data Quality in Human-Centric Sensing Based Next Generation IoT Systems: A Comprehensive Survey of Models, Issues and Challenges

K Banti, M Louta, P Baziana - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Human-Centric Sensing (HCS), a novel approach in the evolution of the Next Generation
Internet of Things (NG-IoT), exploits the ubiquity of diverse smart devices, including …

Deep learning-based privacy-preserving framework for synthetic trajectory generation

JW Kim, B Jang - Journal of Network and Computer Applications, 2022 - Elsevier
Synthetic data generation based on state-of-the-art deep learning methods has recently
emerged as a promising solution to replace the expensive and laborious collection of real …

ALPS: Achieving accuracy-aware location privacy service via assisted regions

S Zhang, T Guo, Q Liu, E Luo, KKR Choo… - Future Generation …, 2023 - Elsevier
Location search services (LSSs) provide convenience and enhanced functionality of
ubiquitous computing, but they lead to a new risk of private location data leakage. The …

Mean field game and broadcast encryption-based joint data freshness optimization and privacy preservation for mobile crowdsensing

Y Yang, B Zhang, D Guo, R Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, due to the benefits of system extensibility, deployment cost, and implementation
flexibility, mobile crowdsensing (MCS) is a popular method for sensing data collection. This …

BLIND: A privacy preserving truth discovery system for mobile crowdsensing

V Agate, P Ferraro, GL Re, SK Das - Journal of Network and Computer …, 2024 - Elsevier
Nowadays, an increasing number of applications exploit users who act as intelligent sensors
and can quickly provide high-level information. These users generate valuable data that, if …

[HTML][HTML] Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems

L Bedogni, F Montori - Journal of Network and Computer Applications, 2023 - Elsevier
Mobile Crowdsensing (MCS) is a paradigm involving a crowd of participants, called workers,
into sensor data gathering campaigns through their personal devices. Some campaigns …

Privacy-preserving adaptive traffic signal control in a connected vehicle environment

C Tan, K Yang - Transportation research part C: emerging technologies, 2024 - Elsevier
Abstract Although Connected Vehicles (CVs) have demonstrated tremendous potential to
enhance traffic operations, they can impose privacy risks on individual travelers, eg, leaking …

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. However …

New cloaking region obfuscation for road network-indistinguishability and location privacy

B Ma, X Lin, X Wang, B Liu, Y He, W Ni… - Proceedings of the 25th …, 2022 - dl.acm.org
The development of location-based services (LBS) leads to the rapid growth of location data,
potentially increasing the threat to location privacy. Existing location obfuscation techniques …