Data integrity verification in column-oriented NoSQL databases

Grisha Weintraub, Ehud Gudes

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

8 Scopus citations

Abstract

Data integrity in cloud databases is a topic that has received a much of attention from the research community. However, existing solutions mainly focus on the cloud providers that store data in relational databases, whereas nowadays many cloud providers store data in non-relational databases as well. In this paper, we focus on the particular family of non-relational databases—column-oriented stores, and present a protocol that will allow cloud users to verify the integrity of their data that resides on cloud databases of this type. We like our solution to be easily integrated with the existing real-world systems and therefore assume that we cannot modify the cloud; our protocol is implemented solely on the client side. We have implemented a prototype of our solution, that uses Cloud BigTable as a cloud database, and have evaluated its performance and correctness.

Original languageEnglish
Title of host publicationData and Applications Security and Privacy XXXII - 32nd Annual IFIP WG 11.3 Conference, DBSec 2018, Proceedings
EditorsStefano Paraboschi, Florian Kerschbaum
PublisherSpringer Verlag
Pages165-181
Number of pages17
ISBN (Print)9783319957289
DOIs
StatePublished - 1 Jan 2018
Event32nd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2018 - Bergamo, Italy
Duration: 16 Jul 201818 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10980 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2018
Country/TerritoryItaly
CityBergamo
Period16/07/1818/07/18

Keywords

  • Data integrity
  • Database outsourcing
  • NoSQL

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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