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09-01-2017 | Foundations

Fuzzy encryption in cloud computation: efficient verifiable outsourced attribute-based encryption

Authors: Jing Li, Xiong Li, Licheng Wang, Debiao He, Haseeb Ahmad, Xinxin Niu

Published in: Soft Computing | Issue 3/2018

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Abstract

Attributed-based encryption (ABE) is a promising cryptographic access control mechanism with a rich expressiveness of ABE policies. Due to the high complexities of encryption and decryption, users are burdened with large computation cost. Fortunately, outsourcing technologies can be used to reduce the computation overhead for the ABE schemes. In the recent decade, the achievements of the outsourced ciphertext-policy ABE (CP-ABE) schemes are inspiring. But, the outsourcing encryption algorithms for CP-ABE schemes are not addressed properly since the encryption exponents are dynamic. In this paper, we present an efficient outsourced CP-ABE scheme with checkability, where the number of the exponential operations in the encryption can be reduced to a constant by introducing a blinding algorithm. Meanwhile, the ciphertext size is not increased. Furthermore, to guarantee the correctness of our scheme, we provide the verification mechanism based on a collision-resistance hash function, which allows the users to efficiently check the validity of messages and outsourced computation results. Besides, the proposed scheme is secure against replayable chosen ciphertext attacks based on Green’s outsourcing security model. Intensive experiments are carried out to illustrate the efficiency of the proposed scheme.

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The function f is just defined based on a given hash function. If the pair of plaintext–ciphertext \((m,C_{1})\) satisfies the verification equation \(c_{12}=\hbox {hash}(c_{11},m,pk)\), where \(C_{1}=(c_{11},c_{12})\). Then \(f(\textit{PK},C_{1},m)=1\)

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Title: Fuzzy encryption in cloud computation: efficient verifiable outsourced attribute-based encryption
Authors: Jing Li
Xiong Li
Licheng Wang
Debiao He
Haseeb Ahmad
Xinxin Niu
Publication date: 09-01-2017
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 3/2018
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2482-1

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