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Privacy Preserving CRUD Operations on Data Stored In Clouds

机译:对存储在云中的数据的隐私保护CRUD操作

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摘要

We propose a privacy preserving access control scheme for data storage, which supports anonymous authentication and performs decentralized key management. In the proposed scheme, the cloud adopts an access control policy and attributes hiding strategy to enhance security. This new scheme supports secure and efficient dynamic operation on data blocks, including: data update, creation, modification and reading data stored in the cloud. Moreover, our authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. We also provide options for file recovery. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against replay attacks. User revocation and access control policies highly contributes to avoid abuse of cloud services and shared technology issues.
机译:我们提出了一种用于数据存储的隐私保护访问控制方案,该方案支持匿名身份验证并执行分散密钥管理。在提出的方案中,云采用访问控制策略和属性隐藏策略来增强安全性。该新方案支持对数据块进行安全,高效的动态操作,包括:数据更新,创建,修改和读取存储在云中的数据。此外,我们的身份验证和访问控制方案是分散的和强大的,这与为集中式云设计的其他访问控制方案不同。我们还提供文件恢复选项。广泛的安全性和性能分析表明,该方案具有很高的效率和抵御重放攻击的能力。用户撤销和访问控制策略在很大程度上有助于避免滥用云服务和共享技术问题。

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