Reversible Database Watermarking Based on Order-preserving Encryption for Data Sharing

Author:

Hu Donghui1ORCID,Wang Qing1ORCID,Yan Song1ORCID,Liu Xiaojun1ORCID,Li Meng1ORCID,Zheng Shuli1ORCID

Affiliation:

1. Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education; School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China; Anhui Province Key Laboratory of Industry Safety and Emergency Technology; Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), Hefei, China

Abstract

In the era of big data, data sharing not only boosts the economy of the world but also brings about problems of privacy disclosure and copyright infringement. The collected data may contain users’ sensitive information; thus, privacy protection should be applied to the data prior to them being shared. Moreover, the shared data may be re-shared to third parties without the consent or awareness of the original data providers. Therefore, there is an urgent need for copyright tracking. There are few works satisfying the requirements of both privacy protection and copyright tracking. The main challenge is how to protect the shared data and realize copyright tracking while not undermining the utility of the data. In this article, we propose a novel solution of a reversible database watermarking scheme based on order-preserving encryption. First, we encrypt the data using order-preserving encryption and adjust an encryption parameter within an appropriate interval to generate a ciphertext with redundant space. Then, we leverage the redundant space to embed robust reversible watermarking. We adopt grouping and K-means to improve the embedding capacity and the robustness of the watermark. Formal theoretical analysis proves that the proposed scheme guarantees correctness and security. Results of extensive experiments show that OPEW has 100% data utility, and the robustness and efficiency of OPEW are better than existing works.

Funder

National Natural Science Foundation of China

Anhui Science and Technology Key Special Program

Anhui Provincial Natural Science Foundation

Anhui Provincial Key Research and Development Program

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

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