Security and privacy for big data: A systematic literature review

B Nelson, T Olovsson - … conference on big data (big data), 2016 - ieeexplore.ieee.org
Big data is currently a hot research topic, with four million hits on Google scholar in October
2016. One reason for the popularity of big data research is the knowledge that can be …

Efficient task assignment in spatial crowdsourcing with worker and task privacy protection

A Liu, W Wang, S Shang, Q Li, X Zhang - GeoInformatica, 2018 - Springer
Spatial crowdsourcing (SC) outsources tasks to a set of workers who are required to
physically move to specified locations and accomplish tasks. Recently, it is emerging as a …

Privacy-aware task allocation and data aggregation in fog-assisted spatial crowdsourcing

H Wu, L Wang, G Xue - IEEE Transactions on Network Science …, 2019 - ieeexplore.ieee.org
Spatial crowdsourcing (SC) enables task owners (TOs) to outsource spatial-related tasks to
a SC-server who engages mobile users in collecting sensing data at some specified …

SVkNN: Efficient secure and verifiable k-nearest neighbor query on the cloud platform

N Cui, X Yang, B Wang, J Li… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
With the boom in cloud computing, data outsourcing in location-based services is
proliferating and has attracted increasing interest from research communities and …

Efficient and privacy-preserving multi-party skyline queries over encrypted data

X Ding, Z Wang, P Zhou, KKR Choo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
One existing challenge associated with large scale skyline queries on cloud services,
particularly when dealing with private information such as biomedical data, is supporting …

Secure skyline queries on cloud platform

J Liu, J Yang, L **ong, J Pei - 2017 IEEE 33rd international …, 2017 - ieeexplore.ieee.org
Outsourcing data and computation to cloud server provides a cost-e ective way to support
large scale data storage and query processing. However, due to security and privacy …

PSRide: Privacy-preserving shared ride matching for online ride hailing systems

H Yu, X Jia, H Zhang, X Yu, J Shu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Online Ride Hailing (ORH) has extensively made our trip more convenient. With mobile
devices, riders can request taxis through ORH systems in a short time. However, to enjoy …

Deep representation learning of activity trajectory similarity computation

Y Zhang, A Liu, G Liu, Z Li, Q Li - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Massive trajectory data stems from the prevalence of equipment supporting GPS and
wireless communication technology. Based on these data, the computation of trajectory …

Protecting location privacy in spatial crowdsourcing using encrypted data

B Liu, L Chen, X Zhu, Y Zhang… - Advances in Database …, 2017 - opus.lib.uts.edu.au
2. THE HESI FRAMEWORK Our secure SC problem can be considered as a secure
outsourcing multi-party computation [5]. Our aim is to enable the SC server to carry out all …

Evaluating location privacy in vehicular communications and applications

GP Corser, H Fu, A Banihani - IEEE transactions on intelligent …, 2016 - ieeexplore.ieee.org
Vehicular ad hoc networks may one day prevent injuries and reduce transportation costs by
enabling new safety and traffic management applications, but these networks raise privacy …