Privacy in the Era of 5G, IoT, Big Data and Machine Learning

Abstract

Technological advances, such as IoT devices, cyberphysical systems, smart mobile devices, cloud systems, data analytics, social networks and increased communication capabilities, are making possible to capture, quickly process and analyze huge amounts of data from which to extract information critical for many tasks, such as healthcare and cyber security. Such an intensive use of data raises however major privacy concerns, especially in the mobile application ecosystem. In this paper, we first show different examples of privacy breaches that can arise in such ecosystem. Those examples show that achieving privacy is challenging and there is no unique technique that one can use; rather one must combine different techniques depending also on the intended use of data. We then outline critical challenges towards achieving comprehensive privacy solutions.