Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud
Grisha Weintraub, Ehud Gudes · 2017
Thanks to their high availability, scalability, and usability, cloud databases have become one of the dominant cloud services. However, since cloud users do not physically possess their data, data integrity may be at risk. In this paper, we present a novel protocol that utilizes crowdsourcing paradigm to provide practical data integrity assurance in key-value cloud databases. The main advantage of our protocol over previous work is its high applicability - as opposed to existing approaches, our scheme does not require any system changes on the cloud side and thus can be applied directly to any existing system. We demonstrate the feasibility of our scheme by a prototype implementation and its evaluation.