实现云数字内容公共审计方案中的所有者转移和数据可追溯性

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yanting Wang, Yilin Yuan, Shisong Yang, Zichen Li
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引用次数: 0

摘要

目前,数字内容的共享显著提升了数据的价值,而数据购买是共享后实现这一价值的一种手段。在数据购买交易发生后,虽然数据的所有权已经成功转移,但这一过程引入了两大挑战:一是在所有权转移后保持云数据完整性验证的连续性,二是实现数据的全生命周期可追溯性,以澄清版权归属。为了解决这些问题,本文提出了一种支持云数据所有权转移和数据可追溯性的公共审计方案。首先,该方案引入一个更新因子作为数学结构,实现同态可验证标签(HVT)在云上的更新。同时,CS(云服务)执行标签更新计算,从而在保证安全性的同时减少了本地用户的计算和通信开销。此外,为了在整个数据生命周期中实现透明度,数字内容的版权信息被嵌入到区块链交易中。然后利用变色龙哈希函数设计了数据可追溯策略,并给出了详细的可追溯过程。安全性分析表明,该方案满足了正确性和可靠性,并通过一系列对比实验进一步验证了该方案在实际应用中的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enable Owner Transfer and Data Traceability in Public Auditing Scheme for Cloud Digital Content

Enable Owner Transfer and Data Traceability in Public Auditing Scheme for Cloud Digital Content

Currently, sharing digital content significantly enhances the value of data, and data purchasing serves as a means of realizing this value after sharing. After a data purchase transaction occurs, although the ownership of the data has been successfully transferred, this process introduces two major challenges: first, maintaining the continuity of cloud data integrity verification after ownership transfers, and second, enabling full-lifecycle traceability of data to clarify copyright attribution. To address these issues, this paper proposes a public auditing scheme that supports both cloud data ownership transfer and data traceability. First, the proposed scheme introduces an update factor as a mathematical structure to enable the update of HVT (homomorphic verifiable tag) on the cloud. Meanwhile, the CS (cloud service) performs tag update computations, thereby ensuring security while reducing the computational and communication overhead for local users. Furthermore, to achieve transparency throughout the data's lifecycle, copyright information of digital content is embedded into blockchain transactions. A data traceability strategy is then designed leveraging a chameleon hash function, and a detailed traceability process is presented. Security analysis demonstrates that our scheme satisfies correctness and reliability, and a series of comparative experiments further validate its feasibility and efficiency in practical applications.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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