摘 要
随着物联网技术的迅猛发展，各类智能设备广泛互联，在为人们的生活和工作带来极大便利的同时，也引发了严重的隐私泄露风险。本研究旨在探讨物联网环境下的隐私保护技术，以保障用户信息的安全性和私密性。通过分析物联网架构特点及现有隐私威胁模型，结合密码学、访问控制和数据匿名化等多学科理论，提出一种基于属性基加密与差分隐私相结合的综合防护机制。该方案不仅能够有效抵御外部攻击者窃取敏感数据，还能防止内部授权人员滥用权限。实验结果表明，所提方法在确保高安全性的前提下，实现了较低的计算开销和通信成本，具有良好的实用价值。此外，针对物联网中海量异构数据的特点，引入了智能化隐私策略管理框架，可根据不同应用场景动态调整保护强度，提升了系统的灵活性和适应性。本研究创新性地将多种隐私保护技术有机融合，构建了适用于物联网环境的多层次、全方位隐私防护体系，为解决当前面临的隐私挑战提供了新的思路和技术手段，对促进物联网健康发展具有重要意义。
关键词：物联网隐私保护 属性基加密 差分隐私
Abstract
With the rapid development of Internet of Things (IoT) technology, various intelligent devices are widely interconnected, bringing significant convenience to people's lives and work while also posing severe risks of privacy leakage. This study aims to explore privacy protection technologies in IoT environments to ensure the security and confidentiality of user information. By analyzing the characteristics of IoT architecture and existing privacy threat models, and integrating theories from cryptography, access control, and data anonymization, this research proposes a comprehensive protection mechanism that combines attribute-based encryption with differential privacy. This approach not only effectively resists external attackers from stealing sensitive data but also prevents authorized internal personnel from abusing their privileges. Experimental results demonstrate that the proposed method achieves low computational overhead and communication costs while ensuring high security, indicating its practical value. Furthermore, addressing the feature of massive heterogeneous data in IoT, an intelligent privacy policy management fr amework is introduced, which can dynamically adjust protection intensity according to different application scenarios, enhancing system flexibility and adaptability. This research innovatively integrates multiple privacy protection technologies to construct a multi-level, all-round privacy protection system suitable for IoT environments, providing new ideas and technical means to address current privacy challenges, and significantly contributing to the healthy development of IoT.
Keyword:Internet Of Things Privacy Protection Attribute-Based Encryption Differential Privacy
目 录
引言 1
1物联网隐私保护概述 1
1.1物联网隐私挑战分析 1
1.2隐私保护技术分类 2
1.3研究现状与趋势 2
2数据加密技术研究 3
2.1对称加密算法应用 3
2.2非对称加密机制 3
2.3加密性能优化方法 4
3访问控制机制探讨 4
3.1身份认证技术分析 4
3.2权限管理模型构建 5
3.3动态访问控制策略 5
4隐私保护新兴技术 6
4.1匿名化处理方法 6
4.2差分隐私技术 6
4.3联邦学习的应用 7
结论 7
参考文献 9
致谢 10
