Using the extensive implementation of public
cloud computing infrastructures, making use of clouds in
order to host data query services is becoming a desirable
solution with the advantages on scalability as well as costsaving.
Even so, some data could possibly be sensitive which
the data owner will not need to proceed to the cloud unless
the information confidentiality along with query privacy are
guaranteed. Alternatively, a secured query service need to
still provide efficient query processing as well as significantly
slow up the in-house workload to totally realize the
advantages of cloud computing. In this paper propose the
particular RASP data perturbation technique to provide
secure as well as efficient range query in addition to kNN
query services of process as secure information within the
cloud. The RASP information perturbation technique allows
in order continuing encryption, dimensionality expanding
upon, stochastic noise injection, because intimately while
random projection, to bring about strong resilience
appropriate to attacks within the perturbed information and
queries. Additionally , it continues multidimensional ranges,
that allows existent indexing comes on to implement to
accelerate range query serving. The especial kNN-R
algorithm are stimulated to attend to the RASP range query
algorithm to process the kNN queries. We consume
cautiously analyzed the plans of attack upon information and
queries within an precisely defined threat model by with
realistic security system assumptions. Considerable
experiments have represented conducted to be able to show
the benefits of this strategy on efficiency and also security.
Published In : IJCAT Journal Volume 2, Issue 10
Date of Publication : October 2015
Pages : 336 - 441
Figures :04
Tables : 01
Publication Link :Privacy Preservation Schemes with Efficient Query
Services within the Cloud
Ashwini Sonkusale : Department of Information Technology, RTMNU,
Nagpur, Maharashtra, India
Gowri Shankar : M.Tech 2nd year, Department of CSE, JNTUA, SEAT
Tirupati, AP, India
N. Anand Reddy : Associate Professor, Department of CSE, JNTUA, SEAT
Tirupati, AP, India
Cloud computing
Data storage
query
processing
security
In this particular paper, we suggest the RASP perturbation
scheme to hosting query services within the cloud, that
satisfies the CPEL standards: information Confidentiality,
query secrecy, cost-effective query processing, also while
Low in-house workload. The especial requirement upon
low in-house workload is really a critical feature to
completely realize the advantages of cloud 15 computing,
as well as efficient query processing is usually a key way
of measuring the standard of query services. RASP
perturbation is usually a unique composition of OPE,
dimensionality expansion, random noise injection, as well
as random projection, which supplies unique security
measures. This aims in order to preserve the topology with
on the queried range in the perturbed space, in addition to
as appropriates to attain use by indices on reference to
cost-effective range query processing.
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