A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Survey on privacy-preserving techniques for microdata publication
The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
concerns about individuals' privacy. As a result, laws and regulations have emerged to …
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility data sets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …
generated by GPS devices, call detail records, and geo-tagged posts from social media …
Sok: Privacy-preserving data synthesis
As the prevalence of data analysis grows, safeguarding data privacy has become a
paramount concern. Consequently, there has been an upsurge in the development of …
paramount concern. Consequently, there has been an upsurge in the development of …
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches
The prevalence of ubiquitous location-aware devices and mobile Internet enables us to
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …
Generative models for synthetic urban mobility data: A systematic literature review
A Kapp, J Hansmeyer, H Mihaljević - ACM Computing Surveys, 2023 - dl.acm.org
Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth
Inferring mobile phone users' home location, ie, assigning a location in space to a user
based on data generated by the mobile phone network, is a central task in leveraging …
based on data generated by the mobile phone network, is a central task in leveraging …
Reinforcement learning-based sensitive semantic location privacy protection for VANETs
Location-based services (LBS) in vehicular ad hoc networks (VANETs) must protect users'
privacy and address the threat of the exposure of sensitive locations during LBS requests …
privacy and address the threat of the exposure of sensitive locations during LBS requests …
A survey and experimental study on privacy-preserving trajectory data publishing
Trajectory data has become ubiquitous nowadays, which can benefit various real-world
applications such as traffic management and location-based services. However, trajectories …
applications such as traffic management and location-based services. However, trajectories …
Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey
JW Kim, B Jang - Journal of Network and Computer Applications, 2024 - Elsevier
The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …
widespread use of GPS-enabled devices. This rich source of data provides invaluable …