摘 要：随着网络攻击手段的不断升级，传统基于边界的安全模型已难以应对日益复杂的网络安全威胁，零信任模型作为一种新兴的安全理念逐渐受到广泛关注。本研究旨在探索基于零信任模型的网络访问控制与检测机制，以提升网络系统的安全性与可靠性。通过引入动态身份验证、持续信任评估和细粒度访问控制等关键技术，构建了一套完整的零信任架构，并设计了相应的实时检测算法以识别异常行为。实验结果表明，该机制能够显著降低未授权访问的风险，同时提高对潜在威胁的感知能力。本研究的创新点在于提出了一种结合机器学习与规则引擎的混合检测方法，能够在保障系统性能的同时实现高精度的威胁识别。此外，研究还验证了零信任模型在复杂网络环境中的适应性与可扩展性，为未来网络安全体系的设计提供了重要参考。
关键词：零信任模型；网络访问控制；动态身份验证
Abstract：With the continuous evolution of cyber-attack techniques, traditional perimeter-based security models are increasingly unable to address the growing complexity of cybersecurity threats, leading to the emergence of the zero trust model as a novel security paradigm that has garnered significant attention. This study focuses on exploring network access control and detection mechanisms based on the zero trust model to enhance the security and reliability of network systems. By incorporating key technologies such as dynamic authentication, continuous trust assessment, and fine-grained access control, a comprehensive zero trust architecture was developed, along with corresponding real-time detection algorithms designed to identify anomalous behaviors. Experimental results demonstrate that this mechanism effectively reduces the risk of unauthorized access while improving the system's ability to detect potential threats. A notable innovation of this research is the proposal of a hybrid detection method that integrates machine learning with rule engines, enabling high-precision threat identification without compromising system performance. Furthermore, the study validates the adaptability and scalability of the zero trust model in complex network environments, providing critical insights for the design of future cybersecurity fr ameworks.
引言 1
一、零信任模型基础理论 1
(一)零信任模型的核心概念 1
(二)零信任与传统安全模型对比 2
(三)零信任模型的关键技术 2
二、网络访问控制机制设计 3
(一)访问控制的基本原则 3
(二)动态身份验证机制研究 3
(三)基于策略的访问控制实现 4
三、检测机制的技术实现 4
(一)异常行为检测方法分析 4
(二)实时威胁感知技术研究 5
(三)数据驱动的检测模型构建 5
四、零信任模型的应用实践 6
(一)企业环境中的部署方案 6
(二)关键应用场景案例分析 6
(三)实施过程中的挑战与优化 7
结论 7
参考文献 9
致谢 9
关键词：零信任模型；网络访问控制；动态身份验证
Abstract：With the continuous evolution of cyber-attack techniques, traditional perimeter-based security models are increasingly unable to address the growing complexity of cybersecurity threats, leading to the emergence of the zero trust model as a novel security paradigm that has garnered significant attention. This study focuses on exploring network access control and detection mechanisms based on the zero trust model to enhance the security and reliability of network systems. By incorporating key technologies such as dynamic authentication, continuous trust assessment, and fine-grained access control, a comprehensive zero trust architecture was developed, along with corresponding real-time detection algorithms designed to identify anomalous behaviors. Experimental results demonstrate that this mechanism effectively reduces the risk of unauthorized access while improving the system's ability to detect potential threats. A notable innovation of this research is the proposal of a hybrid detection method that integrates machine learning with rule engines, enabling high-precision threat identification without compromising system performance. Furthermore, the study validates the adaptability and scalability of the zero trust model in complex network environments, providing critical insights for the design of future cybersecurity fr ameworks.
Keywords: Zero Trust Model；Network Access Control；Dynamic Authentication
引言 1
一、零信任模型基础理论 1
(一)零信任模型的核心概念 1
(二)零信任与传统安全模型对比 2
(三)零信任模型的关键技术 2
二、网络访问控制机制设计 3
(一)访问控制的基本原则 3
(二)动态身份验证机制研究 3
(三)基于策略的访问控制实现 4
三、检测机制的技术实现 4
(一)异常行为检测方法分析 4
(二)实时威胁感知技术研究 5
(三)数据驱动的检测模型构建 5
四、零信任模型的应用实践 6
(一)企业环境中的部署方案 6
(二)关键应用场景案例分析 6
(三)实施过程中的挑战与优化 7
结论 7
参考文献 9
致谢 9
