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

IF 2.2 2区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Donghui Hu, Qing Wang, Song Yan, Xiaojun Liu, Meng Li, Shuli Zheng
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引用次数: 0

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.

基于保序加密的数据共享可逆数据库水印
在大数据时代,数据共享在促进世界经济发展的同时,也带来了隐私泄露、版权侵权等问题。收集的数据可能包含用户的敏感信息;因此,在数据被共享之前,应该对数据进行隐私保护。此外,共享的数据可能在未经原始数据提供者同意或知情的情况下被重新共享给第三方。因此,迫切需要对版权进行跟踪。很少有作品能同时满足隐私保护和版权跟踪的要求。如何在不损害数据效用的前提下保护共享数据,实现版权跟踪是目前面临的主要挑战。本文提出了一种基于保序加密的可逆数据库水印方案。首先,我们使用保序加密对数据进行加密,并在适当的间隔内调整加密参数以生成具有冗余空间的密文。然后,利用冗余空间嵌入稳健的可逆水印。我们采用分组和k均值来提高水印的嵌入能力和鲁棒性。形式化的理论分析证明了该方案保证了正确性和安全性。大量实验结果表明,该算法具有100%的数据利用率,鲁棒性和效率均优于现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Database Systems
ACM Transactions on Database Systems 工程技术-计算机:软件工程
CiteScore
5.60
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Heavily used in both academic and corporate R&D settings, ACM Transactions on Database Systems (TODS) is a key publication for computer scientists working in data abstraction, data modeling, and designing data management systems. Topics include storage and retrieval, transaction management, distributed and federated databases, semantics of data, intelligent databases, and operations and algorithms relating to these areas. In this rapidly changing field, TODS provides insights into the thoughts of the best minds in database R&D.
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