Secure public-auditing cloud storage enabling data dynamics in the standard model

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

In cloud computing, the paradigm of data outsourcing introduces security challenges, which requires an independent auditing service to check the data integrity in the cloud. Many existing integrity checking protocols cannot be applied to the auditing service because they can only deal with static data, but it is natural for the client to dynamically update their remotely stored data. Thus, an efficient and secure auditing protocol enabling data dynamics is desired to convince the client that the data are correctly stored in the cloud. In this work, we propose a privacy-preserving public auditing cloud storage protocol enabling data dynamics in the standard model. Inspired by a recent homomorphic network coding signature scheme, we employ a data integrity auditing protocol based on the strong RSA assumption, and extend it to enable a third party auditor to audit client's data without learning the data content. Then we further extend our auditing protocol to support the data dynamic operations (modification, insertion and deletion), which achieves high security level in the standard model. At last we prove the security and justify the performance of our proposed protocol through concrete experiments and comparisons with the state of the art.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Digital Information Processing, Data Mining, and Wireless Communications, DIPDMWC 2016
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages170-175
Number of pages6
ISBN (Electronic)9781467393799
DOIs
Publication statusPublished - 2016
EventDIPDMWC 2016: 3rd International Conference on Digital Information Processing, Data Mining and Wireless Communications - Moscow, Russian Federation
Duration: 6 Jul 20168 Jul 2016
Conference number: 3

Conference

ConferenceDIPDMWC 2016
CountryRussian Federation
CityMoscow
Period6/07/168/07/16

Keywords

  • cloud computing
  • data dynamics
  • Data storage
  • privacy-preserving auditing

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