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，传统安全检测手段面临诸多挑战。数据可视化技术凭借其直观呈现海量数据信息的优势，在网络安全检测领域展现出巨大潜力。本研究旨在探索数据可视化技术在网络安全检测中的应用，以提升网络威胁识别与响应能力。通过分析现有网络安全数据特征及可视化需求，构建基于数据可视化的网络安全检测框架，融合多种可视化方法如图形展示、交互式界面设计等，实现对网络流量、入侵行为等多源异构数据的有效监测与分析。实验结果表明，该框架能够显著提高异常流量检测准确率，缩短威胁响应时间，增强态势感知能力。
关键词：数据可视化 网络安全检测 异常流量检测
Abstract
With the rapid development of information technology, the network security threats are increasingly complex and changeable, and the traditional security detection means are facing many challenges. Data visualization technology in the field of massive data information has shown great potential in the field of network security detection. This study aims to explore the application of data visualization technology in network security detection to improve the network threat identification and response ability. By analyzing the existing network security data characteristics and visualization requirements, a network security detection fr amework based on data visualization is constructed, and a variety of visualization methods, such as graphical display and interactive interface design, are integrated to realize the effective monitoring and analysis of multi-source heterogeneous data such as network traffic and intrusion behavior. The experimental results show that the proposed fr amework can significantly improve the detection accuracy of abnormal flow, shorten the threat response time, and enhance the situational awareness capability.
Keyword:Data Visualization Network Security Detection Anomaly Traffic Detection
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研究方法概述 1
2数据可视化技术基础 2
2.1数据可视化的概念与发展历程 2
2.2关键技术与工具 3
2.3可视化在网络安全中的作用 3
3网络安全检测需求分析 4
3.1网络安全威胁特征 4
3.2检测技术面临的挑战 4
3.3可视化需求评估 5
4数据可视化在网络安全检测中的应用 6
4.1异常流量监测可视化 6
4.2攻击行为模式识别 6
4.3安全事件响应支持 7
结论 8
参考文献 9
致谢 10
随着信息技术的迅猛发展，网络安全威胁日益复杂多变，传统安全检测手段面临诸多挑战。数据可视化技术凭借其直观呈现海量数据信息的优势，在网络安全检测领域展现出巨大潜力。本研究旨在探索数据可视化技术在网络安全检测中的应用，以提升网络威胁识别与响应能力。通过分析现有网络安全数据特征及可视化需求，构建基于数据可视化的网络安全检测框架，融合多种可视化方法如图形展示、交互式界面设计等，实现对网络流量、入侵行为等多源异构数据的有效监测与分析。实验结果表明，该框架能够显著提高异常流量检测准确率，缩短威胁响应时间，增强态势感知能力。
关键词：数据可视化 网络安全检测 异常流量检测
Abstract
With the rapid development of information technology, the network security threats are increasingly complex and changeable, and the traditional security detection means are facing many challenges. Data visualization technology in the field of massive data information has shown great potential in the field of network security detection. This study aims to explore the application of data visualization technology in network security detection to improve the network threat identification and response ability. By analyzing the existing network security data characteristics and visualization requirements, a network security detection fr amework based on data visualization is constructed, and a variety of visualization methods, such as graphical display and interactive interface design, are integrated to realize the effective monitoring and analysis of multi-source heterogeneous data such as network traffic and intrusion behavior. The experimental results show that the proposed fr amework can significantly improve the detection accuracy of abnormal flow, shorten the threat response time, and enhance the situational awareness capability.
Keyword:Data Visualization Network Security Detection Anomaly Traffic Detection
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研究方法概述 1
2数据可视化技术基础 2
2.1数据可视化的概念与发展历程 2
2.2关键技术与工具 3
2.3可视化在网络安全中的作用 3
3网络安全检测需求分析 4
3.1网络安全威胁特征 4
3.2检测技术面临的挑战 4
3.3可视化需求评估 5
4数据可视化在网络安全检测中的应用 6
4.1异常流量监测可视化 6
4.2攻击行为模式识别 6
4.3安全事件响应支持 7
结论 8
参考文献 9
致谢 10
