Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud

Grisha Weintraub, Ehud Gudes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
PublisherInstitute of Electrical and Electronics Engineers
Pages498-503
Number of pages6
ISBN (Electronic)9781509066100
DOIs
StatePublished - 10 Jul 2017
Event17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 - Madrid, Spain
Duration: 14 May 201717 May 2017

Publication series

NameProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017

Conference

Conference17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
Country/TerritorySpain
CityMadrid
Period14/05/1717/05/17

Keywords

  • Cloud
  • Data integrity
  • Key-value stores
  • NoSQL
  • Secure storage

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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