Title :
How to Track Your Data: The Case for Cloud Computing Provenance
Author :
Zhang, Olive Qing ; Kirchberg, Markus ; Ko, Ryan K L ; Lee, Bu Sung
Author_Institution :
Cloud & Security Lab., Hewlett-Packard Labs., Singapore, Singapore
fDate :
Nov. 29 2011-Dec. 1 2011
Abstract :
Provenance, a meta-data describing the derivation history of data, is crucial for the uptake of cloud computing to enhance reliability, credibility, accountability, transparency, and confidentiality of digital objects in a cloud. In this paper, we survey current mechanisms that support provenance for cloud computing, we classify provenance according to its granularities encapsulating the various sets of provenance data for different use cases, and we summarize the challenges and requirements for collecting provenance in a cloud, based on which we show the gap between current approaches to requirements. Additionally, we propose our approach, Data PROVE, that aims to effectively and efficiently satisfy those challenges and requirements in cloud provenance, and to provide a provenance supplemented cloud for better integrity and safety of customers´ data.
Keywords :
cloud computing; data encapsulation; meta data; DataPROVE; cloud computing provenance; data tracking; digital object confidentiality; meta data; provenance data encapsulation; Cloud computing; Hardware; Law; Operating systems; Protocols; Security; Cloud Computing; Data Provenance; Trust;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4673-0090-2
DOI :
10.1109/CloudCom.2011.66