Privacy-preserving data mining: methods, metrics, and applications

R Mendes, JP Vilela - IEEe Access, 2017 - ieeexplore.ieee.org
The collection and analysis of data are continuously growing due to the pervasiveness of
computing devices. The analysis of such information is fostering businesses and …

The long road to computational location privacy: A survey

V Primault, A Boutet, SB Mokhtar… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Z Wu, G Li, S Shen, X Lian, E Chen, G Xu - World Wide Web, 2021 - Springer
Location-based services (LBS) have become an important part of people's daily life.
However, while providing great convenience for mobile users, LBS result in a serious …

A personalized privacy protection framework for mobile crowdsensing in IIoT

J **ong, R Ma, L Chen, Y Tian, Q Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …

A location privacy-preserving system based on query range cover-up or location-based services

Z Wu, R Wang, Q Li, X Lian, G Xu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Location-based service (LBS) has been widely used in various fields of industry, and
become a vital part of people's daily life. However, while providing great convenience for …

[HTML][HTML] A survey of privacy-preserving mechanisms for heterogeneous data types

M Cunha, R Mendes, JP Vilela - Computer science review, 2021 - Elsevier
Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

Privacy in mobile participatory sensing: Current trends and future challenges

D Christin - Journal of Systems and Software, 2016 - Elsevier
Mobile participatory sensing has opened the doors to numerous sensing scenarios that
were unimaginable few years ago. In absence of protection mechanisms, most of these …

[ΒΙΒΛΙΟ][B] Differential privacy and applications

T Zhu, G Li, W Zhou, SY Philip - 2017 - Springer
Corporations, organizations, and governments have collected, digitized, and stored
information in digital forms since the invention of computers, and the speed of such data …

Local differential private data aggregation for discrete distribution estimation

S Wang, L Huang, Y Nie, X Zhang… - … on Parallel and …, 2019 - ieeexplore.ieee.org
For the purpose of improving the quality of services, softwares or online services are
collecting various of user data, such as personal information and locations. Such data …

P2AE: Preserving Privacy, Accuracy, and Efficiency in Location-Dependent Mobile Crowdsensing

Y Jiang, K Zhang, Y Qian, L Zhou - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the widespread prevalence of smart devices, mobile crowdsensing (MCS) becomes a
new trend to encourage mobile nodes to participate in cooperative data collection in various …