Effective privacy preserving data publishing by vectorization

CSH Eom, CC Lee, W Lee, CK Leung - Information Sciences, 2020 - Elsevier
As smart devices and cloud services are rapidly expanding, a large amount of location
information can easily be gathered. However, there is a conflict between collecting location …

Privacy preserving semantic trajectory data publishing for mobile location-based services

R Tan, Y Tao, W Si, YY Zhang - Wireless Networks, 2020 - Springer
The development of wireless technologies and the popularity of mobile devices is
responsible for generating large amounts of trajectory data for moving objects. Trajectory …

Protecting sensitive place visits in privacy-preserving trajectory publishing

N Wang, MS Kankanhalli - Computers & Security, 2020 - Elsevier
The rise of mobile computing has generated huge amount of trajectory data. Since these
data are valuable for many people, publishing them while providing adequate individual …

Friendship prediction model based on factor graphs integrating geographical location

L Chen, S Qiao, N Han, C Yuan, X Song… - CAAI Transactions …, 2020 - Wiley Online Library
With the development of network services and location‐based systems, many mobile
applications begin to use users' geographical location to provide better services. In terms of …

Preserving privacy of temporal big data

AM Olawoyin, CK Leung… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In the current technological era, huge amounts of big data are generated and collected from
a wide variety of rich data sources. Embedded in these big data are useful information and …

Privacy-and context-aware release of trajectory data

E Naghizade, L Kulik, E Tanin, J Bailey - ACM Transactions on Spatial …, 2020 - dl.acm.org
The availability of large-scale spatio-temporal datasets along with the advancements in
analytical models and tools have created a unique opportunity to create valuable insights …

A semantic-based approach for privacy-preserving in trajectory publishing

A Ye, Q Zhang, Y Diao, J Zhang, H Deng… - IEEE Access, 2020 - ieeexplore.ieee.org
The increasing abundance of data in the trajectories of personal movement opens up new
opportunities for analyzing and mining human mobility. But the inherent personal …

Privacy preserving trajectory data publishing with personalized differential privacy

R Wen, W Cheng, H Huang, W Miao… - 2020 IEEE Intl Conf on …, 2020 - ieeexplore.ieee.org
With the development of location-based applications, more and more trajectory data are
collected and applied. Trajectory data often contains user's sensitive information, and direct …

High-precision intelligent track prediction under multi-dimensional conditions

Y Yang, Q Zhu, Q Hu, X Wen - 2020 39th Chinese Control …, 2020 - ieeexplore.ieee.org
In order to maintain national maritime security, it is particularly important to master the
navigation rules of ships on important maritime military routes. Traditional trajectory …

Translocation‐Based Algorithm for Publishing Trajectories with Personalized Privacy Requirements

S Wang, C Chen, G Zhang - Mathematical Problems in …, 2020 - Wiley Online Library
Up to now, a large amount of trajectory data have been collected by trusted servers because
of the wide use of location‐based services. One can extract useful information via an …