Secure provenance: the essential of bread and butter of data forensics in cloud computing

Authors:
Rongxing Lu;Xiaodong Lin;Xiaohui Liang;Xuemin (Sherman) Shen
Affiliations:
University of Waterloo, Waterloo, Canada;University of Ontario Institute of Technology, Canada;University of Waterloo, Waterloo, Canada;University of Waterloo, Waterloo, Canada
Venue:
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
Year:
2010

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Abstract

Secure provenance that records ownership and process history of data objects is vital to the success of data forensics in cloud computing, yet it is still a challenging issue today. In this paper, to tackle this unexplored area in cloud computing, we proposed a new secure provenance scheme based on the bilinear pairing techniques. As the essential bread and butter of data forensics and post investigation in cloud computing, the proposed scheme is characterized by providing the information confidentiality on sensitive documents stored in cloud, anonymous authentication on user access, and provenance tracking on disputed documents. With the provable security techniques, we formally demonstrate the proposed scheme is secure in the standard model.