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An Expressive Hidden Access Policy CP-ABE

Authors: Fawad Khan; Hui Li 0006; Liangxuan Zhang; Jian Shen 0001;

An Expressive Hidden Access Policy CP-ABE

Abstract

Ciphertext Policy - Attribute Based Encryption (CPABE) has emerged as a feasible solution to address challenges of access control to a diverse set of users. In CP-ABE, owner encrypts its data under a policy of attributes, while any data consumer satisfying it can decrypt the data. Problem of existing CP-ABE schemes is that the access matrix is sent in plaintext along with the ciphertext. Hence, to provide legitimate consumers with capability to figure out their exact attributes satisfying policy; we trade-off the privacy of policy. Existing work focuses on hiding the attribute values, and most of them are based on less expressive And-based access structures. A policy can be considered as hidden, when both attribute's names and their corresponding combination cannot be revealed. To do so, we propose a novel idea of not sending the access matrix along with ciphertext. Moreover, to aid consumer in finding out the subset of his attributes satisfying policy, we exploit Hidden Vector Encryption (HVE) for subset condition checks. We give performance analysis of our scheme in Charm Simulator, and prove it to be selectively secure under DBDH and DLIN assumptions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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