摘 要
随着云计算技术的快速发展，数据隐私泄露问题日益凸显，成为制约云计算广泛应用的关键瓶颈。本研究旨在深入探讨云计算环境下的数据隐私泄露检测与防护技术，提出一种基于多层次加密和行为分析的综合防护框架。通过引入零知识证明算法优化数据访问控制机制，并结合机器学习模型对潜在隐私泄露风险进行实时监测与预警，有效提升了系统的安全性和鲁棒性。实验结果表明，该框架在保障数据隐私的同时，显著降低了计算开销和延迟时间，实现了性能与安全性的平衡。本研究的主要创新点在于将行为特征分析与密码学技术深度融合，为云计算环境下的数据隐私保护提供了新思路，其成果可广泛应用于金融、医疗等敏感领域，具有重要的理论价值和实践意义。关键词：数据隐私保护; 云计算安全; 多层次加密; 行为分析; 零知识证明
Abstract
With the rapid development of cloud computing technology, data privacy leakage has become an increasingly prominent issue, posing a critical bottleneck to the widespread application of cloud computing. This study aims to explore detection and protection technologies for data privacy leakage in cloud computing environments, proposing a comprehensive protection fr amework based on multi-level encryption and behavior analysis. By integrating zero-knowledge proof algorithms to optimize data access control mechanisms and employing machine learning models for real-time monitoring and early warning of potential privacy leakage risks, the system's security and robustness are significantly enhanced. Experimental results demonstrate that this fr amework effectively reduces computational overhead and latency while safeguarding data privacy, achieving a balance between performance and security. The primary innovation of this research lies in the deep integration of behavioral feature analysis with cryptographic techniques, offering new insights into data privacy protection in cloud computing environments. Its findings can be widely applied in sensitive domains such as finance and healthcare, possessing substantial theoretical value and practical significance.
Key words:Data Privacy Protection; Cloud Computing Security; Multi-Level Encryption; Behavior Analysis; Zero-Knowledge Proof
目 录
中文摘要 I
英文摘要 II
引 言 1
第1章、云计算环境下的隐私泄露现状分析 2
1.1、数据隐私泄露的主要类型 2
1.2、云计算环境的特殊性分析 2
1.3、隐私泄露的影响与挑战 3
第2章、数据隐私泄露检测技术研究 4
2.1、常见检测方法概述 4
2.2、基于机器学习的检测模型 4
2.3、检测技术的性能评估与优化 5
第3章、数据隐私防护技术方案设计 6
3.1、加密技术在隐私防护中的应用 6
3.2、数据匿名化与脱敏技术研究 6
3.3、分布式环境下的访问控制机制 7
第4章、云计算隐私保护的实际应用与未来展望 8
4.1、实际应用场景案例分析 8
4.2、技术实施中的问题与对策 8
4.3、未来发展方向与技术创新 8
结 论 10
参考文献 11
