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Tsinghua Science and Technology 2020, 25(5): 579-588 https://doi.org/10.26599/TST.2019.9010066
Open Access | Issue | Published: 16 March 2020

An Attribute-Based Encryption Scheme Based on Unrecognizable Trapdoors

Show Author's Information Ruizhong Du( ),  Ailun Tan,  Junfeng Tian
Cyberspace Security and Computer College, Hebei University, Baoding 071002, China.
Key Laboratory on High Trusted Information System in Hebei Province, Baoding 071002, China.
Keywords:
Attribute-Based Encryption (ABE), unrecognizable trapdoor, two-way access strategy, ciphertext search
Cite this article:
Du R, Tan A, Tian J. An Attribute-Based Encryption Scheme Based on Unrecognizable Trapdoors. Tsinghua Science and Technology, 2020, 25(5): 579-588. https://doi.org/10.26599/TST.2019.9010066
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Abstract Full text About this article

Attribute-Based Encryption (ABE) has been widely used for ciphertext retrieval in the cloud environment. However, bi-flexible attribute control and privacy keywords are difficult problems that have yet to be solved. In this paper, we introduce the denial of access policy and the mutual matching algorithm of a dataset used to realize bidirectional control of attributes in the cloud server. To solve the problem of keyword privacy, we construct a security trapdoor by adding random numbers that effectively resist keyword guessing attacks from cloud servers and external attackers. System security is reduced to the Deterministic Bilinear Diffie-Hellman (DBDH) hypothesis problem. We validate our scheme through theoretical security analysis and experimental verification. Experiments are conducted on a real dataset, and results show that the scheme has higher security and retrieval efficiency than previous methods.


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About this article

An Attribute-Based Encryption Scheme Based on Unrecognizable Trapdoors

Show Author's information Ruizhong Du( ), Ailun Tan, Junfeng Tian
Cyberspace Security and Computer College, Hebei University, Baoding 071002, China.
Key Laboratory on High Trusted Information System in Hebei Province, Baoding 071002, China.

Abstract

Attribute-Based Encryption (ABE) has been widely used for ciphertext retrieval in the cloud environment. However, bi-flexible attribute control and privacy keywords are difficult problems that have yet to be solved. In this paper, we introduce the denial of access policy and the mutual matching algorithm of a dataset used to realize bidirectional control of attributes in the cloud server. To solve the problem of keyword privacy, we construct a security trapdoor by adding random numbers that effectively resist keyword guessing attacks from cloud servers and external attackers. System security is reduced to the Deterministic Bilinear Diffie-Hellman (DBDH) hypothesis problem. We validate our scheme through theoretical security analysis and experimental verification. Experiments are conducted on a real dataset, and results show that the scheme has higher security and retrieval efficiency than previous methods.

Keywords: Attribute-Based Encryption (ABE), unrecognizable trapdoor, two-way access strategy, ciphertext search

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Publication history

Received: 24 October 2019
Accepted: 04 November 2019
Published: 16 March 2020
Issue date: October 2020

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© The author(s) 2020

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The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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