IoT data markets in public and private institutions have become increasingly relevant in
recent years because of their potential to improve data availability and unlock new business …

Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …

Smart cities, leveraging IoT technologies, are revolutionizing the quality of life for citizens.
However, the massive data generated in these cities also poses significant privacy risks …

Digital health data collection is vital for healthcare and medical research. But it contains
sensitive information about patients, which makes it challenging. To collect health data …

For the extraction of useful patterns, the collected data should be distributed to and shared
with analyzers. This, however, creates problems and challenges for the individual with …

In recent years, the widespread adoption of location-based software has significantly
improved people's daily lives. However, this convenience has brought about an increasingly …

Recently big data and its applications had sharp growth in various fields such as IoT,
bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous …

Many models have been proposed to preserve data privacy for different data publishing
scenarios. Among these models, ϵ-differential privacy has drawn increasing attention in …

Publishing patient data without revealing their sensitive information is one of the challenging
research issues in the healthcare sector. Patient records contain useful information that is …