Paper Title

Secure sharing and self destructing data in cloud computing

Authors

Arkile Rupali Anil , Lakade Sharmila Dhayandev , Burkule Samruddhi Sarjerao , Nalawade Vinay Shivajirao

Keywords

Sensitive data, Secure self-destructing, privacy preserving, cloud computing.

Abstract

With the quick advancement of flexible cloud administrations, it turns out to be progressively helpless to utilize cloud administrations to share information in a companion hover in the distributed computing condition. Since it is not practical to actualize full lifecycle protection security, get to control turns into a testing errand, particularly when we share delicate information on cloud servers. Keeping in mind the end goal to handle this issue, we propose a key-approach trait based encryption with time-indicated characteristics (KP-TSABE), a novel secure information self-destructing plan in distributed computing. In the KP-TSABE plot, each figure content is marked with a period interim while private key is related with a period moment. The delicate information will be safely self-destructed after a client indicated termination time. Far reaching correlations of the security properties demonstrate that the KP-TSABE conspire proposed by us fulfills the security prerequisites and is better than other existing plans.

How To Cite

"Secure sharing and self destructing data in cloud computing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.4 - 7, June-2018, Available :https://ijsdr.org/papers/IJSDR1806002.pdf

Issue

Volume 3 Issue 6, June-2018

Pages : 4 - 7

Other Publication Details

Paper Reg. ID: IJSDR_180346

Published Paper Id: IJSDR1806002

Downloads: 000347171

Research Area: Engineering

Country: Indapur, Maharastra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1806002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1806002

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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