POSTER: Robust dynamic Remote Data Checking for public clouds

Bo Chen; Reza Curtmola

doi:10.1145/2382196.2382319

POSTER: Robust dynamic Remote Data Checking for public clouds

Bo Chen, Reza Curtmola

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 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 language	English (US)
Title of host publication	CCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security
Pages	1043-1045
Number of pages	3
DOIs	https://doi.org/10.1145/2382196.2382319
State	Published - 2012
Externally published	Yes
Event	2012 ACM Conference on Computer and Communications Security, CCS 2012 - Raleigh, NC, United States Duration: Oct 16 2012 → Oct 18 2012

Publication series

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

Other

Other	2012 ACM Conference on Computer and Communications Security, CCS 2012
Country/Territory	United States
City	Raleigh, NC
Period	10/16/12 → 10/18/12

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

Access to Document

10.1145/2382196.2382319

Cite this

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title = "POSTER: Robust dynamic Remote Data Checking for public clouds",

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.",

keywords = "Cloud storage, Dynamic provable data possession, Remote Data integrity checking, Robustness, Small corruption",

author = "Bo Chen and Reza Curtmola",

year = "2012",

doi = "10.1145/2382196.2382319",

language = "English (US)",

isbn = "9781450316507",

series = "Proceedings of the ACM Conference on Computer and Communications Security",

pages = "1043--1045",

booktitle = "CCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security",

note = "2012 ACM Conference on Computer and Communications Security, CCS 2012 ; Conference date: 16-10-2012 Through 18-10-2012",

}

Chen, B & Curtmola, R 2012, POSTER: Robust dynamic Remote Data Checking for public clouds. in CCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security. Proceedings of the ACM Conference on Computer and Communications Security, pp. 1043-1045, 2012 ACM Conference on Computer and Communications Security, CCS 2012, Raleigh, NC, United States, 10/16/12. https://doi.org/10.1145/2382196.2382319

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T2 - 2012 ACM Conference on Computer and Communications Security, CCS 2012

AU - Chen, Bo

AU - Curtmola, Reza

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Cloud storage

KW - Dynamic provable data possession

KW - Remote Data integrity checking

KW - Robustness

KW - Small corruption

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BT - CCS'12 - Proceedings of the 2012 ACM Conference on Computer and Communications Security

Y2 - 16 October 2012 through 18 October 2012

ER -

POSTER: Robust dynamic Remote Data Checking for public clouds

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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