确保云计算环境下的数据存储安全

Rampal Singh, Sawan Kumar, Shani Kumar Agrahari
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引用次数: 1114

摘要

云计算被设想为IT企业的下一代架构。传统解决方案将IT服务置于适当的物理、逻辑和人员控制之下,与之相反,云计算将应用软件和数据库转移到大型数据中心,而在大型数据中心,数据和服务的管理可能并不完全值得信赖。然而,这种独特的属性带来了许多新的安全挑战,这些挑战尚未得到很好的理解。在本文中,我们将重点关注云数据存储安全性,这一直是服务质量的一个重要方面。为了保证用户在云中数据的正确性,我们提出了一种有效而灵活的分布式方案,与之前的方案相比,它有两个显著的特点。通过使用同态令牌对擦除编码数据进行分布式验证,我们的方案实现了存储正确性保障和数据错误定位的集成,即对行为不端的服务器进行识别。与以往的大多数工作不同,新方案进一步支持安全高效的数据块动态操作,包括:数据更新、删除和追加。大量的安全性和性能分析表明,该方案具有很高的效率和抗拜占庭故障、恶意数据修改攻击甚至服务器串通攻击的弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ensuring data storage security in Cloud Computing
Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, Cloud Computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server(s). Unlike most prior works, the new scheme further supports secure and efficient dynamic operations on data blocks, including: data update, delete and append. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.
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