Non-interactive Boolean Searchable Asymmetric Encryption With Bilateral Access Control

Author:

Wang Xiwen1,Zhang Kai1,Li Jinguo1,Wen Mi1,Xu Shengmin2,Ning Jianting23

Affiliation:

1. College of Computer Science and Technology, Shanghai University of Electric Power , Shanghai 201306 , China

2. Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Computer and Cyber Security, Fujian Normal University , Fuzhou 350007 , China

3. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences , Beijing 100093 , China

Abstract

Abstract Searchable asymmetric encryption (SAE) enables a client to search over a data owner’s encrypted data. Nevertheless, state-of-the-art SAE schemes allow a data owner to specify access control policy for a client, while they have not considered the threat case of a malicious data owner. To address the problem, this work presents a non-interactive SAE scheme with bilateral access control: (i) allowing data owner and client to both specify policies toward the other party; (ii) allowing client to perform arbitrary boolean queries with sub-linear search complexity. Technically, we extend Cash et al.’s highly scalable SSE into an asymmetric setting and introduce the property of data owner authenticity. By refining identity-based matchmaking encryption, we formalize the syntax and security definition of our SAE with identity-based bilateral access control. Moreover, the security of the proposed SAE can be reduced to discrete logistic assumption and decisional bilinear Diffie–Hellman assumption. As an enhanced extension, we present a non-interactive multi-client SAE scheme with fuzzy identity-based bilateral access control. In addition, we implement the proposed schemes in real cloud platform and evaluate their performance on a real-world dataset. The result confirms that our SAE schemes achieve bilateral access control for both data owner and client with highly acceptable efficiency.

Funder

National Natural Science Foundation of China

Shanghai Rising-Star Program

Program of Shanghai Academic Research Leader

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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