An Efficient Scheme for Big Data Access with Privacy-preserving Policy in Cloud
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https://doi.org/10.14419/ijet.v7i3.24.22790
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Watchwords Big Data, Access Control, Privacy- protecting Policy, Attribute Bloom Filter, LSSS Access Structure. -
Abstract
How to administration the entrance of the huge amount of enormous information terms into a horrendously troublesome issue, especially once tremendous learning are keep inside the cloud. Figure content policy Attribute essentially based coding (CP-ABE) might be a promising coding strategy grants end-clients to engrave their insight underneath the entrance arrangements sketched out finished a few qualities of information clients and exclusively permits information clients whose characteristics fulfill the entrance strategies to modify the info. In CP-ABE, the entrance arrangement is associated with the figure message in plaintext type, which can also release some individual information in regards to end -Clint’s. Existing systems exclusively halfway conceal the characteristic qualities inside the entrance approaches, through the property names are as yet unprotected. Amid this paper, we tend to propose Associate in Nursing efficient and fine-grained immense learning access administration topic with security safeguarding policy. In particular, we tend to conceal the total characteristic inside the entrance approaches. To help information coding, we tend to also style a one of a kind Attribute Bloom Filter to measure regardless of whether Associate in Nursing trait in inside the entrance approach and locate the exact position inside the entrance strategy if it’s inside the entrance arrangement. Security investigation and execution examination demonstrate that our topic will safeguard the protection from any LSSS get to arrangement while not utilizing copious overhead.
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How to Cite
Barath, C., P, S., & Jahnavi . Y, R. (2018). An Efficient Scheme for Big Data Access with Privacy-preserving Policy in Cloud. International Journal of Engineering & Technology, 7(3.24), 445-448. https://doi.org/10.14419/ijet.v7i3.24.22790Received date: 2018-12-02
Accepted date: 2018-12-02