Cloud Computing has been one of the most fascinating and influential technologies in recent years and has literally revolutionised the way we access computing resources by providing a virtually unlimited amount of resources instantaneously. Despite this seemingly amazing breakthrough, there are still some clouds on the horizon, preventing the paradigm from an even greater impact: While most technological issues are solved or nearly solved, two major areas still not only lack appropriate mitigations, but even a thorough understanding: Fear of privacy and security issues as well as a lack of control over own data remain the biggest obstacles towards a wider adoption of Cloud Computing. In this paper, we argue that existing solutions to protect users' privacy are not enough as they only focus on a single aspect at a time while being too complex. Instead, we present a novel concept called "Software Defined Privacy" which allows easy orchestration of existing tools to describe and enforce privacy requirements of an IaaS Cloud Customer.
['Florian Kemmer', 'Christoph Reich', 'Martin Knahl', 'Nathan L. Clarke']
Software Defined Privacy