摘 要
随着网络攻击日益复杂化和多样化，传统的网络安全事件响应机制面临诸多挑战，难以快速准确地应对突发安全事件。为此，本研究聚焦启发式搜索算法在网络安全事件响应中的优化应用，旨在通过引入启发式搜索算法提升事件响应的效率与准确性。研究基于对现有网络安全事件响应流程的深入剖析，发现传统响应模式存在决策路径冗长、资源分配不合理等问题。针对上述问题，提出一种融合多源异构数据的启发式搜索框架，该框架能够动态评估威胁态势，自适应调整搜索策略，实现对潜在威胁的精准定位与快速响应。实验结果表明，相较于传统方法，所提方案在事件检测速度上提升了约30%，误报率降低了25%左右。此外，该框架还具备良好的可扩展性，能够根据不同的网络环境灵活配置参数。
关键词：网络安全事件响应 启发式搜索算法 多源异构数据
Abstract
With the increasing complexity and diversification of network attacks, the traditional network security incident response mechanism is faced with many challenges, and it is difficult to respond to sudden security incidents quickly and accurately. To this end, this study focuses on the optimization application of heuristic search algorithm in network security event response, aiming to improve the efficiency and accuracy of event response by introducing heuristic search algorithm. Based on the in-depth analysis of the existing network security event response process, it is found that the traditional response mode has problems such as lengthy decision path and unreasonable resource allocation. To solve the above problems, a heuristic search fr amework integrating multi-source heterogeneous data is proposed, which can dynamically evaluate the threat situation, adjust the search strategy adaptively, and realize accurate positioning and rapid response to potential threats. The experimental results show that, compared with the traditional method, the proposed scheme improves the event detection speed by about 30%, and reduces the false alarm rate by about 25%. In addition, the fr amework also has good scalability and can flexibly configure parameters according to different network environments.
Keyword:Cybersecurity Incident Response Heuristic Search Algorithm Multi-source Heterogeneous Data
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3本文研究方法 2
2启发式搜索算法基础理论 2
2.1启发式搜索算法概述 2
2.2网络安全事件响应流程 3
2.3启发式搜索算法在网络安全中的应用现状 3
3启发式搜索算法优化模型构建 4
3.1优化模型设计原则 4
3.2关键参数选取与定义 5
3.3模型验证与评估体系 5
4优化算法在事件响应中的应用 6
4.1威胁检测与预警机制 6
4.2事件响应决策支持系统 7
4.3应急处置方案优化策略 7
结论 8
参考文献 9
致谢 10
随着网络攻击日益复杂化和多样化，传统的网络安全事件响应机制面临诸多挑战，难以快速准确地应对突发安全事件。为此，本研究聚焦启发式搜索算法在网络安全事件响应中的优化应用，旨在通过引入启发式搜索算法提升事件响应的效率与准确性。研究基于对现有网络安全事件响应流程的深入剖析，发现传统响应模式存在决策路径冗长、资源分配不合理等问题。针对上述问题，提出一种融合多源异构数据的启发式搜索框架，该框架能够动态评估威胁态势，自适应调整搜索策略，实现对潜在威胁的精准定位与快速响应。实验结果表明，相较于传统方法，所提方案在事件检测速度上提升了约30%，误报率降低了25%左右。此外，该框架还具备良好的可扩展性，能够根据不同的网络环境灵活配置参数。
关键词：网络安全事件响应 启发式搜索算法 多源异构数据
Abstract
With the increasing complexity and diversification of network attacks, the traditional network security incident response mechanism is faced with many challenges, and it is difficult to respond to sudden security incidents quickly and accurately. To this end, this study focuses on the optimization application of heuristic search algorithm in network security event response, aiming to improve the efficiency and accuracy of event response by introducing heuristic search algorithm. Based on the in-depth analysis of the existing network security event response process, it is found that the traditional response mode has problems such as lengthy decision path and unreasonable resource allocation. To solve the above problems, a heuristic search fr amework integrating multi-source heterogeneous data is proposed, which can dynamically evaluate the threat situation, adjust the search strategy adaptively, and realize accurate positioning and rapid response to potential threats. The experimental results show that, compared with the traditional method, the proposed scheme improves the event detection speed by about 30%, and reduces the false alarm rate by about 25%. In addition, the fr amework also has good scalability and can flexibly configure parameters according to different network environments.
Keyword:Cybersecurity Incident Response Heuristic Search Algorithm Multi-source Heterogeneous Data
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3本文研究方法 2
2启发式搜索算法基础理论 2
2.1启发式搜索算法概述 2
2.2网络安全事件响应流程 3
2.3启发式搜索算法在网络安全中的应用现状 3
3启发式搜索算法优化模型构建 4
3.1优化模型设计原则 4
3.2关键参数选取与定义 5
3.3模型验证与评估体系 5
4优化算法在事件响应中的应用 6
4.1威胁检测与预警机制 6
4.2事件响应决策支持系统 7
4.3应急处置方案优化策略 7
结论 8
参考文献 9
致谢 10
