The A SURVEY ON SECURE AND EFFICIENT FEATURE BASED PRODUCT INFORMATION RETRIEVAL FROM CLOUD
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Abstract
When it comes to managing a big number of IT resources in an effective and
adaptable way, cloud computing is an exciting new IT method to watch. Companies are
increasingly moving their data management systems to the cloud and storing their product
information on cloud servers. As an additional problem, how to keep commercially private
data secure while yet allowing for the capacity to search it is a major one. An identifier-based
and feature-based product search strategy is suggested in this work to ensure privacy. This is
done by creating two new index trees that can be searched without having access to the
plaintext data. Analysis and simulation findings show that our system is both secure and
efficient
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