POSTER: Robust dynamic Remote Data Checking for public clouds

Bo Chen, Reza Curtmola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

Remote Data Checking (RDC) allows clients to efficiently check the integrity of data stored at untrusted servers. This allows data owners to assess the risk of outsourcing data in the public cloud, making RDC a valuable tool for data auditing. Early RDC schemes have focused on static data, whereas later schemes such as DPDP support the full range of dynamic operations on the outsourced data, including insertions, modifications, and deletions. Robustness is required for both static and dynamic RDC schemes that rely on spot checking for efficiency. In this paper, we propose the first RDC schemes that provide robustness and, at the same time, support dynamic updates, while requiring small, constant, client storage.

Original languageEnglish (US)
Title of host publicationCCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security
Pages1043-1045
Number of pages3
DOIs
StatePublished - Nov 26 2012
Event2012 ACM Conference on Computer and Communications Security, CCS 2012 - Raleigh, NC, United States
Duration: Oct 16 2012Oct 18 2012

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Other

Other2012 ACM Conference on Computer and Communications Security, CCS 2012
Country/TerritoryUnited States
CityRaleigh, NC
Period10/16/1210/18/12

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

Keywords

  • Cloud storage
  • Dynamic provable data possession
  • Remote Data integrity checking
  • Robustness
  • Small corruption

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