支持用户可追溯性的一种新的安全重复数据删除方法

Jianfeng Wang, Xiaofeng Chen, Jin Li, Kamil Kluczniak, Mirosław Kutyłowski
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引用次数: 9

摘要

重复数据删除的概念使用户能够消除重复的数据副本,从而节省大量的存储空间和网络带宽。融合加密作为最先进的方法,已被广泛用于在跨用户场景中执行安全的重复数据删除。然而,所有现有的解决方案都不能支持用户可跟踪性。也就是说,无法跟踪恶意用户的身份,例如,如果用户执行重复伪造攻击。为了解决这一问题,本文提出了一种新的安全重复数据删除方案,通过将可跟踪签名与最先进的重复数据删除技术(如交互式随机收敛加密和所有权证明)相结合,支持用户可追溯性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Secure Data Deduplication Approach Supporting User Traceability
The notion of data deduplication enables a user to eliminate duplicate copies of data so that it can save the amount of storage space and network bandwidth. Convergent encryption, as the state-of-art approach, has been widely adopted to perform secure deduplication in the cross-user scenario. However, all the existing solutions cannot support user traceability. That is, there is no way to trace the identities of malicious users for instance in case a user performed a duplicate faking attack. To cope with this issue, in this paper, we propose a novel secure deduplication scheme supporting user traceability by incorporating traceable signatures with the state of the art deduplication technique, such as interactive randomized convergent encryption and proof of ownership.
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