Share Email Print

Proceedings Paper

Data provenance assurance in the cloud using blockchain
Author(s): Sachin Shetty; Val Red; Charles Kamhoua; Kevin Kwiat; Laurent Njilla
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Ever increasing adoption of cloud technology scales up the activities like creation, exchange, and alteration of cloud data objects, which create challenges to track malicious activities and security violations. Addressing this issue requires implementation of data provenance framework so that each data object in the federated cloud environment can be tracked and recorded but cannot be modified. The blockchain technology gives a promising decentralized platform to build tamper-proof systems. Its incorruptible distributed ledger/blockchain complements the need of maintaining cloud data provenance. In this paper, we present a cloud based data provenance framework using block chain which traces data record operations and generates provenance data. We anchor provenance data records into block chain transactions, which provide validation on provenance data and preserve user privacy at the same time. Once the provenance data is uploaded to the global block chain network, it is extremely challenging to tamper the provenance data. Besides, the provenance data uses hashed user identifiers prior to uploading so the blockchain nodes cannot link the operations to a particular user. The framework ensures that the privacy is preserved. We implemented the architecture on ownCloud, uploaded records to blockchain network, stored records in a provenance database and developed a prototype in form of a web service.

Paper Details

Date Published: 2 May 2017
PDF: 11 pages
Proc. SPIE 10206, Disruptive Technologies in Sensors and Sensor Systems, 102060I (2 May 2017); doi: 10.1117/12.2266994
Show Author Affiliations
Sachin Shetty, Old Dominion Univ. (United States)
Val Red, Air Force Research Lab. (United States)
Charles Kamhoua, Air Force Research Lab. (United States)
Kevin Kwiat, Air Force Research Lab. (United States)
Laurent Njilla, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 10206:
Disruptive Technologies in Sensors and Sensor Systems
Russell D. Hall; Misty Blowers; Jonathan Williams, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?