This paper describes a functional view of a privacy architecture based on a shared-services model. The architecture exposes 7 functional management components: Master Management, Privacy Monitoring, Private Data Identification, Policy Management, Privacy Service Injection, Privacy Logging, and Privacy Analytics for (re)use by multiple applications operating in heterogeneous Big Data environments. We illustrate the privacy service injection aspect of the architecture through an IBM Watson-like Health Use Case using de-identification and attribute-based access-control (ABAC) as injected privacy controls.
['Dawn N. Jutla', 'Peter Bodorik']
PAUSE: A privacy architecture for heterogeneous big data environments