POSTER: Robust dynamic Remote Data Checking for public clouds
Document Type
Conference Proceeding
Publication Date
11-26-2012
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.
Identifier
84869445824 (Scopus)
ISBN
[9781450316507]
Publication Title
Proceedings of the ACM Conference on Computer and Communications Security
External Full Text Location
https://doi.org/10.1145/2382196.2382319
ISSN
15437221
First Page
1043
Last Page
1045
Recommended Citation
Chen, Bo and Curtmola, Reza, "POSTER: Robust dynamic Remote Data Checking for public clouds" (2012). Faculty Publications. 18011.
https://digitalcommons.njit.edu/fac_pubs/18011
