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Provenance for cloud data accountability

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Abstract

Although cloud adoption has increased in recent years, it is still hampered by the lack of means for data accountability. Data provenance, the information that describes the historical events surrounding the datum, can potentially address the data accountability issue in the cloud. While provenance research has produced tools that can actively collect data provenance in a cloud environment, these tools incur a substantial amount of overhead in terms of time and storage. This overhead, along with other disadvantages, render these tools untenable as a long-term solution.

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Conference Paper
While provenance research is common in distributed systems, many proposed solutions do not address the security of systems and accountability of data stored in those systems. In this paper, we survey provenance solutions which were proposed to address the problems of system security and data accountability in distributed systems. From our survey, we derive a set of minimum requirements that are necessary for a provenance system to be effective in addressing the two problems. Finally, we identify several gaps in the surveyed solutions and present them as challenges that future provenance researchers should tackle. We argue that these gaps have to be addressed before a complete and fool-proof provenance solution can be arrived at in the future.
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