Electronic Health Record (EHR) is the key to an efficient healthcare service delivery system.
The publication of healthcare data is highly beneficial to healthcare industries and …

Recently, with the great development of e-health, more and more countries have made
certain achievements in the field of electronic medical treatment. The digitization of medical …

K-anonymity is a widely used privacy-preserving technique which defends against linking
attacks by suppression and generalization. The existing k-anonymity algorithms prevent …

Personal data have been increasingly used in data-driven applications to improve quality of
life. However, privacy preservation of personal data while sharing it with …

Privacy-preserving data mining techniques are useful for analyzing various information,
such as Internet of Things data and COVID-19-related patient data. However, collecting a …

With the popularity of location-aware devices (eg, smart phones), a large number of
trajectory data were collected. The trajectory dataset can be used in many fields including …

The Internet of Things (IoT) is an exponentially growing emerging technology, which is
implemented in the digitization of Electronic Health Records (EHR). The application of IoT is …

Privacy preserving data publishing (PPDP) refers to the releasing of anonymized data for the
purpose of research and analysis. A considerable amount of research work exists for the …

The privacy protection problem in data mining has received increasingly attention and is a
hot topic of current research. To address the problems of large accuracy loss and instability …

We highlight that syntactic and semantic mechanisms used for preserving individual privacy
in data analysis have various technical shortcomings with respect to the nature of personal …