面向云存储的高效数据加密与访问控制机制
摘 要
随着云计算技术的快速发展，云存储已成为数据管理的重要方式，但其开放性和共享特性也带来了数据安全与隐私保护的严峻挑战。为解决这一问题，本文提出了一种面向云存储的高效数据加密与访问控制机制，旨在实现数据的安全存储与精细化访问管理。研究首先分析了现有加密算法和访问控制模型在云环境中的局限性，如性能开销大、灵活性不足等问题，进而设计了一种结合属性基加密（ABE）与细粒度访问控制的混合架构。该机制通过优化密钥生成与分发流程，显著降低了加密解密过程中的计算复杂度，并引入动态权限更新策略以适应多变的用户需求。实验结果表明，所提方案在保证数据机密性的同时，能够有效提升系统效率并支持大规模用户场景下的实时访问控制。
关键词：云存储安全 属性基加密 细粒度访问控制
Abstract
With the rapid development of cloud computing technology, cloud storage has become an important way of data management, but its openness and sharing features have also brought severe challenges in data security and privacy protection. To solve this problem, this paper proposes an efficient data encryption and access control mechanism for cloud storage, aiming to realize secure data storage and fine access management. The study first analyzes the limitations of existing encryption algorithms and access control models in the cloud environment, such as high performance cost and insufficient flexibility, and then designs a hybrid architecture combining attribute base encryption (ABE) and fine-grained access control. By optimizing the key generation and distribution process, this mechanism significantly reduces the computing complexity in the encryption and decryption process, and introduces the dynamic permission update strategy to adapt to the changing user needs. The experimental results show that the proposed scheme can effectively improve the system efficiency and support the real-time access control in large-scale user scenarios while ensuring the data confidentiality.
Keyword:Cloud Storage Security Attribute-Based Encryption Fine-Grained Access Control
目 录
引言 1
1云存储加密技术基础研究 1
1.1数据加密基本原理 1
1.2对称加密算法分析 1
1.3非对称加密算法探讨 2
1.4云环境下的加密挑战 2
2高效数据加密方案设计 3
2.1加密效率优化策略 3
2.2数据分块与加密结合 3
2.3密钥管理机制设计 4
2.4方案性能评估指标 4
3访问控制机制构建 5
3.1云存储访问控制模型 5
3.2基于属性的访问控制 5
3.3动态权限管理机制 6
3.4安全性与可用性平衡 6
4系统实现与实验验证 7
4.1系统架构设计与实现 7
4.2实验环境与数据集 7
4.3性能测试与结果分析 8
4.4安全性验证与讨论 8
结论 8
参考文献 10
致谢 11
摘 要
随着云计算技术的快速发展，云存储已成为数据管理的重要方式，但其开放性和共享特性也带来了数据安全与隐私保护的严峻挑战。为解决这一问题，本文提出了一种面向云存储的高效数据加密与访问控制机制，旨在实现数据的安全存储与精细化访问管理。研究首先分析了现有加密算法和访问控制模型在云环境中的局限性，如性能开销大、灵活性不足等问题，进而设计了一种结合属性基加密（ABE）与细粒度访问控制的混合架构。该机制通过优化密钥生成与分发流程，显著降低了加密解密过程中的计算复杂度，并引入动态权限更新策略以适应多变的用户需求。实验结果表明，所提方案在保证数据机密性的同时，能够有效提升系统效率并支持大规模用户场景下的实时访问控制。
关键词：云存储安全 属性基加密 细粒度访问控制
Abstract
With the rapid development of cloud computing technology, cloud storage has become an important way of data management, but its openness and sharing features have also brought severe challenges in data security and privacy protection. To solve this problem, this paper proposes an efficient data encryption and access control mechanism for cloud storage, aiming to realize secure data storage and fine access management. The study first analyzes the limitations of existing encryption algorithms and access control models in the cloud environment, such as high performance cost and insufficient flexibility, and then designs a hybrid architecture combining attribute base encryption (ABE) and fine-grained access control. By optimizing the key generation and distribution process, this mechanism significantly reduces the computing complexity in the encryption and decryption process, and introduces the dynamic permission update strategy to adapt to the changing user needs. The experimental results show that the proposed scheme can effectively improve the system efficiency and support the real-time access control in large-scale user scenarios while ensuring the data confidentiality.
Keyword:Cloud Storage Security Attribute-Based Encryption Fine-Grained Access Control
目 录
引言 1
1云存储加密技术基础研究 1
1.1数据加密基本原理 1
1.2对称加密算法分析 1
1.3非对称加密算法探讨 2
1.4云环境下的加密挑战 2
2高效数据加密方案设计 3
2.1加密效率优化策略 3
2.2数据分块与加密结合 3
2.3密钥管理机制设计 4
2.4方案性能评估指标 4
3访问控制机制构建 5
3.1云存储访问控制模型 5
3.2基于属性的访问控制 5
3.3动态权限管理机制 6
3.4安全性与可用性平衡 6
4系统实现与实验验证 7
4.1系统架构设计与实现 7
4.2实验环境与数据集 7
4.3性能测试与结果分析 8
4.4安全性验证与讨论 8
结论 8
参考文献 10
致谢 11
