Risk Management and Privacy Violation Detection in the PoSeID-on Data Privacy Platform

Abstract

As personal data establishes itself as one of the main resources of our digital society, ways of controlling, monitoring, managing and securing personally identifiable information have become crucial. PoSeID-on is an H2020 European Union project that targets this need. In this paper, we present and discuss PoSeID-on’s risk management and personal data analyser strategies, which support core functions of the data privacy platform being developed. In addition to describing the architecture of such functions, we provide experimental results concerning their operation.