Data anonymization has become a major technique in privacy preserving data publishing. Many methods have been proposed to anonymize one dataset and a series of datasets of a data holder. However, no method has been proposed for the anonymization scenario of multiple independent data publishing. A data holder publishes a dataset, which contains overlapping population with other datasets publishe...

Data publishing is an easy and economic means for data sharing, but the privacy risk is a major concern in data publishing. Privacy preservation is a major task in data sharing for organizations like bureau of statistics, hospitals, etc. While a large number of data publishing models and methods have been proposed, their utility is of concern when a high privacy requirement is imposed. In this ...

Personal information is increasingly gathered and used for providing services tailored to user preferences, but the datasets used to provide such functionality can represent serious privacy threats if not appropriately protected. Work in privacy-preserving data publishing targeted privacy guarantees that protect against record re-identification, by making records indistinguishable, or sensitive...

BACKGROUND Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data publishing is to anonymize the data before publishing, and thus satisfy privacy models such as k-anonymity. Among various anonymization techniques, generalization is the most c...

Trajectory data has become ubiquitous nowadays, which can benefit various real-world applications such as traffic management and location-based services. However, trajectories may disclose highly sensitive information of an individual including mobility patterns, personal profiles gazetteers, social relationships, etc, making it indispensable to consider privacy protection when releasing trajec...

Publication of trajectory data that contain rich information vehicles in the dimensions time and space (location) enables online monitoring supervision motion offline traffic analysis for various management tasks. However, it also provides security holes privacy breaches as exposing individual’s to public may results attacks threatening safety. Therefore, increased attention has been made recen...