The collection of medical data and personal health data is taking place in diverse locations
due to the development of IoT technology. This has created possibilities for using medical …

Nowadays with growth of information technologies, organizations are constantly collecting
information about individuals. Public availability of these datasets can considerably benefit …

Deep learning (DL) has been shown to be very effective for many application domains of
machine learning (ML), including image classification, voice recognition, natural language …

In recent times, providing privacy to the medical dataset has been the biggest issue in
medical applications. Since, in hospitals, the patient's data are stored in files, the files must …

As society is becoming increasingly digital in its interactions, the issue of data privacy is
becoming more and more severe and of public concern too. Data or information can be …

In this chapter, we outline the major developments of modern privacy study based on the
survey work we have conducted [,,–]. Mainstream privacy protection techniques including …

Abstract Machine Learning has received its attention over the past decade in the security
and privacy related applications. The information is enormous, and manual working on data …

This paper proposes a privacy preserving-aware-based approach over Big data in clouds
using GSA and MapReduce framework. It consists of two modules such as; MapReduce …

As the analytic tools become more powerful, and more data are generated on a daily basis,
the issue of data privacy arises. This leads to the study of the design of privacy-preserving …