Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …

With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

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 …

The continuously increasing number of mobile devices actively being used in the world
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …

Most data owners publish personal data for information consumers, which is used for hidden
knowledge discovery. But data publishing in its original form may be subjected to unwanted …

Differential privacy (DP) has achieved great progress in addressing the user privacy
preservation issues related to data analysis in the Internet of Things (IoT) services and …

Though anonymization mechanisms have made huge progress in fostering the secondary
use of data, it is still very challenging to obtain adequate knowledge from anonymized data …

In the modern era, data of diverse types (medical, financial, etc.) are outsourced from data
owner environments to the public domains for data mining and knowledge discovery …

In the modern era, personal data published by data owners play a vital role in decision-
making, resource allocation, disease mitigation, and/or epidemiological analysis. However …

In the era of big data, advanced data processing devices and smart sensors greatly benefit
us in many areas. As for each individual user, data sharing can be an essential part of the …