Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …

In recent times, the utility and privacy are trade‐off factors with the performance of one factor
tends to sacrifice the other. Therefore, the dataset cannot be published without privacy. It is …

Cloud computing is a long‐standing dream of computing as a utility, where users can store
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …

Fingerprint-based wireless indoor positioning approaches are widely used for location-
based services because wireless signals, such as Wi-Fi and Bluetooth, are currently …

Edge computing and distributed machine learning have advanced to a level that can
revolutionize a particular organization. Distributed devices such as the Internet of Things …

The healthcare services industry has seen a huge transformation since the prominent rise of
the Internet of Things (IoT). IoT in healthcare services includes a large number of unified and …

Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

The advancement of data communication technologies promotes widespread data collection
and transmission in various application domains, thereby expanding big data significantly …

The race for innovation has turned into a race for data. Rapid developments of new
technologies, especially in the field of artificial intelligence, are accompanied by new ways …