“AN EFFICIENT AND FINE-GRAINED BIG DATA ACCESS CONTROL SCHEME WITH PRIVACY-PRESERVING POLICY”

Abstract

Instructions to control the entrance of the enormous measure of huge information turns into an exceptionally
difficult issue, particularly when huge information are put away in the cloud. Ciphertext-Policy Attribute based
Encryption (CP-ABE) is a promising encryption procedure that empowers end-clients to encode their information under
the entrance approaches characterized over a few characteristics of information shoppers and finely permits information
customers whose qualities fulfill the entrance strategies to unscramble the information. In CP-ABE, the entrance strategy
is connected to the ciphertext in plaintext shape, which may likewise release some private data about end-clients.
Existing techniques just halfway shroud the property estimations in the entrance approaches, while the trait names are as
yet unprotected. In this paper, we propose a proficient and fine-grained huge information get to control conspire with
protection safeguarding arrangement. In particular, we shroud the entire characteristic (as opposed to just its qualities)
in the entrance arrangements. To help information unscrambling, we additionally plan a novel Attribute Bloom Filter to
assess whether a property is in the entrance arrangement and find the correct position in the entrance approach on the
off chance that it is in the entrance strategy. Security examination and execution assessment demonstrate that our plan
can save the protection from any LSSS get to arrangement without utilizing much overhead.