
Cloud computing brings a number of compliance risks to organisations because physical perimeters are not clearly delimited. Many regulations relate to the location of the data processing (and storage), including the EU Data protection directive. A major problem for cloud service consumers, acting as data controllers, is how to demonstrate compliance to data transfer constraints. We address the lack of tools to support accountable data localization and transfer across cloud software, platform and infrastructure services, usually run by data processors. In this paper we design a framework for automating the collection of evidence that obligations with respect to personal data handling are being carried out in what concerns personal data transfers. We experiment our approach in the Open Stack open source IaaS implementation, showing how auditors can verify whether data transfers were compliant.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
