Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing - 2017

PROJECT TITLE :

Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing - 2017

ABSTRACT:

To be able to leverage huge knowledge to achieve enhanced strategic insight, method optimization and create informed decision, we want to be an economical access management mechanism for guaranteeing finish-to-finish security of such information asset. Signcryption is one amongst many promising techniques to simultaneously achieve huge data confidentiality and authenticity. But, signcryption suffers from the limitation of not being able to revoke users from a large-scale system efficiently. We put forward, in this paper, the primary identity-based mostly (ID-primarily based) signcryption scheme with economical revocation likewise because the feature to outsource unsigncryption to enable secure Big Data Communications between data collectors and knowledge analytical system(s). Our scheme is intended to attain end-to-finish confidentiality, authentication, non-repudiation, and integrity simultaneously, while providing scalable revocation functionality such that the overhead demanded by the private key generator (PKG) within the key-update section only increases logarithmically primarily based on the cardiality of users. Although in our scheme the majority of the unsigncryption tasks are outsourced to an untrusted cloud server, this approach will not have an effect on the protection of the proposed scheme. We tend to then prove the security of our theme, as well as demonstrating its utility using simulations.

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