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Cloud Data Protection for the Masses
January 2012 (vol. 45 no. 1)
pp. 39-45
ASCII Text
x 
 
Dawn Song, Elaine Shi, Ian Fischer, Umesh Shankar, "Cloud Data Protection for the Masses," Computer, vol. 45, no. 1, pp. 39-45, January, 2012.
 
 
BibTex
x
 
@article{ 10.1109/MC.2012.1,
author = {Dawn Song and Elaine Shi and Ian Fischer and Umesh Shankar},
title = {Cloud Data Protection for the Masses},
journal ={Computer},
volume = {45},
number = {1},
issn = {0018-9162},
year = {2012},
pages = {39-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2012.1},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Cloud Data Protection for the Masses
IS - 1
SN - 0018-9162
SP39
EP45
EPD - 39-45
A1 - Dawn Song,
A1 - Elaine Shi,
A1 - Ian Fischer,
A1 - Umesh Shankar,
PY - 2012
KW - Security and Privacy
KW - integrity
KW - protection
KW - verifiability
KW - aggregation
VL - 45
JA - Computer
ER -
 
Dawn Song, University of California, Berkeley
Elaine Shi, University of California, Berkeley
Ian Fischer, University of California, Berkeley
Umesh Shankar, Google
Offering strong data protection to cloud users while enabling rich applications is a challenging task. Researchers explore a new cloud platform architecture called Data Protection as a Service, which dramatically reduces the per-application development effort required to offer data protection, while still allowing rapid development and maintenance.
Index Terms:
Security and Privacy, integrity, protection, verifiability, aggregation
Citation:
Dawn Song, Elaine Shi, Ian Fischer, Umesh Shankar, "Cloud Data Protection for the Masses," Computer, vol. 45, no. 1, pp. 39-45, Jan. 2012, doi:10.1109/MC.2012.1
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