摘 要
随着信息技术的迅猛发展，网络安全威胁日益复杂多变，传统的安全防护手段难以应对新型攻击形式，构建有效的网络安全态势感知系统成为保障网络空间安全的关键。本研究旨在设计与实现一个全面、实时、智能的网络安全态势感知系统，以提升对网络威胁的识别、预警和响应能力。通过融合大数据分析、机器学习算法和可视化技术，该系统能够对海量异构网络安全数据进行采集、处理、分析和展示。创新性地引入了深度神经网络模型用于异常流量检测，提高了检测精度；采用分布式架构确保系统的高可用性和可扩展性；建立了多维度综合评价指标体系以量化网络安全态势。实验结果表明，该系统在检测率、误报率等关键性能指标上均优于现有同类系统，能够在早期发现潜在威胁并提供决策支持。研究结论显示，所提出的网络安全态势感知系统为网络安全管理提供了有效工具，对于维护网络环境稳定具有重要意义，其先进的设计理念和技术方案为后续相关研究奠定了坚实基础。
关键词：网络安全态势感知 深度神经网络 大数据分析
Abstract
With the rapid development of information technology, cyber security threats have become increasingly complex and diverse, rendering traditional security protection methods inadequate in addressing new forms of attacks. This study aims to design and implement a comprehensive, real-time, and intelligent cyber security situational awareness system to enhance the identification, early warning, and response capabilities for cyber threats. By integrating big data analytics, machine learning algorithms, and visualization technologies, the system is capable of collecting, processing, analyzing, and presenting massive volumes of heterogeneous cyber security data. Innovatively, a deep neural network model has been introduced for anomaly traffic detection, improving detection accuracy; a distributed architecture ensures high availability and scalability of the system; and a multi-dimensional comprehensive evaluation index system has been established to quantify cyber security situations. Experimental results demonstrate that the proposed system outperforms existing similar systems in key performance indicators such as detection rate and false alarm rate, enabling early discovery of potential threats and providing decision support. The conclusion indicates that the proposed cyber security situational awareness system offers an effective tool for cyber security management and is significant for maintaining the stability of the network environment. Its advanced design philosophy and technical solutions lay a solid foundation for subsequent related research.
Keyword:Cybersecurity Situation Awareness Deep Neural Network Big Data Analysis
目 录
引言 1
1网络安全态势感知系统概述 1
1.1系统研究背景与意义 1
1.2国内外研究现状分析 2
1.3系统设计目标与挑战 2
2系统架构设计与关键技术 3
2.1整体架构规划 3
2.2核心技术选型 3
2.3数据采集与预处理 4
3感知与分析模块实现 5
3.1威胁情报收集 5
3.2安全事件关联分析 5
3.3异常行为检测机制 6
4可视化展示与预警响应 6
4.1可视化界面设计 6
4.2预警模型构建 7
4.3响应策略制定 7
结论 8
参考文献 10
致谢 11
