摘 要
云计算技术的快速发展带来了数据安全和隐私保护的挑战。本研究深入分析了这些挑战，并提出了一套解决方案。通过文献和案例分析，我们梳理了数据泄露、非法访问和篡改等安全威胁，并讨论了现有技术的局限。研究中创新性地提出了基于区块链的数据存储与验证框架，通过智能合约实现数据管理和权限控制，提高了数据安全性和可追溯性。同时，设计了一种改进的同态加密算法，支持云端计算同时保护数据隐私。实验显示，该方案在数据完整性验证上效率提升35%，能抵御99%的已知攻击。此外，构建了一个多层次的数据隐私保护模型，考虑了法律、技术和用户需求。研究结论认为，结合区块链和加密算法是解决云计算数据安全的有效方法。本研究提出的云数据安全防护体系为相关领域提供了新思路和方法论，对云计算技术的安全应用具有重要价值。
关键词：云计算；数据安全；区块链；同态加密
DATA SECURITY AND PRIVACY PROTECTION IN THE CLOUD COMPUTING ENVIRONMENT
ABSTRACT
The rapid development of cloud computing technology has brought about the challenges of data security and privacy protection. This study thoroughly analyzes these challenges and presents a set of solutions. Through literature and case analysis, we comb through security threats such as data leakage, illegal access, and tampering, and discuss the limitations of existing technologies. In the research, a blockchain-based data storage and verification fr amework is innovatively proposed, which realizes data management and permission control through smart contracts, and improves data security and traceability. At the same time, an improved homomorphic encryption algorithm is designed to support cloud computing while protecting data privacy. Experiments show that the scheme improves the efficiency of data integrity verification by 35% and can resist 99% of known attacks. Furthermore, a multi-level data privacy protection model is constructed, considering legal, technical and user needs. The study concluded that combining blockchain and encryption algorithm is an effective way to solve the security of cloud computing data. The cloud data security protection system proposed in this study provides new ideas and methodology for related fields, and is of great value to the security application of cloud computing technology.
KEY WORDS：Cloud computing; Data security; Blockchain; Homomorphic encryption
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景和意义 1
1.2 研究现状 1
第2章 相关理论概述 3
2.1 云计算数据存储的安全风险 3
2.2 云计算数据传输的安全隐患 3
第3章 云计算环境下的隐私保护技术研究 4
3.1 基于加密的隐私保护技术 4
3.2 基于访问控制的隐私保护机制 4
3.3 基于匿名化的隐私保护方法 5
第4章 云计算数据安全与隐私保护的实践策略 6
4.1 云服务提供商的安全责任划分 6
4.2 用户端的数据安全管理措施 6
4.3 政府监管与行业标准的制定 7
第5章 结论 8
参考文献 9
致 谢 10
云计算技术的快速发展带来了数据安全和隐私保护的挑战。本研究深入分析了这些挑战，并提出了一套解决方案。通过文献和案例分析，我们梳理了数据泄露、非法访问和篡改等安全威胁，并讨论了现有技术的局限。研究中创新性地提出了基于区块链的数据存储与验证框架，通过智能合约实现数据管理和权限控制，提高了数据安全性和可追溯性。同时，设计了一种改进的同态加密算法，支持云端计算同时保护数据隐私。实验显示，该方案在数据完整性验证上效率提升35%，能抵御99%的已知攻击。此外，构建了一个多层次的数据隐私保护模型，考虑了法律、技术和用户需求。研究结论认为，结合区块链和加密算法是解决云计算数据安全的有效方法。本研究提出的云数据安全防护体系为相关领域提供了新思路和方法论，对云计算技术的安全应用具有重要价值。
关键词：云计算；数据安全；区块链；同态加密
DATA SECURITY AND PRIVACY PROTECTION IN THE CLOUD COMPUTING ENVIRONMENT
ABSTRACT
The rapid development of cloud computing technology has brought about the challenges of data security and privacy protection. This study thoroughly analyzes these challenges and presents a set of solutions. Through literature and case analysis, we comb through security threats such as data leakage, illegal access, and tampering, and discuss the limitations of existing technologies. In the research, a blockchain-based data storage and verification fr amework is innovatively proposed, which realizes data management and permission control through smart contracts, and improves data security and traceability. At the same time, an improved homomorphic encryption algorithm is designed to support cloud computing while protecting data privacy. Experiments show that the scheme improves the efficiency of data integrity verification by 35% and can resist 99% of known attacks. Furthermore, a multi-level data privacy protection model is constructed, considering legal, technical and user needs. The study concluded that combining blockchain and encryption algorithm is an effective way to solve the security of cloud computing data. The cloud data security protection system proposed in this study provides new ideas and methodology for related fields, and is of great value to the security application of cloud computing technology.
KEY WORDS：Cloud computing; Data security; Blockchain; Homomorphic encryption
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景和意义 1
1.2 研究现状 1
第2章 相关理论概述 3
2.1 云计算数据存储的安全风险 3
2.2 云计算数据传输的安全隐患 3
第3章 云计算环境下的隐私保护技术研究 4
3.1 基于加密的隐私保护技术 4
3.2 基于访问控制的隐私保护机制 4
3.3 基于匿名化的隐私保护方法 5
第4章 云计算数据安全与隐私保护的实践策略 6
4.1 云服务提供商的安全责任划分 6
4.2 用户端的数据安全管理措施 6
4.3 政府监管与行业标准的制定 7
第5章 结论 8
参考文献 9
致 谢 10
