A framework that enables privacy infusion in all aspects of big data analytics is discussed and TIPPERS: a testbed for privacy enhancing technologies is presented.
The world is generating exabytes of information daily. This vast explosion in the growth of data creates a need for data analysis technologies as well as effective storage and retrieval systems. Relatedly, this vast amount of data presents privacy challenges ranging from legal constraints to ethical information use. The authors of this paper discuss a framework that enables privacy infusion in all aspects of big data analytics. Additionally, the authors present TIPPERS: a testbed for privacy enhancing technologies.