摘 要：随着信息技术的迅猛发展，网络空间已成为国家安全、经济发展和社会稳定的重要基石。然而，网络安全威胁日益严峻，传统的安全防御手段已难以应对复杂多变的网络攻击。大数据技术的崛起为网络安全领域带来了新的解决思路。通过对海量网络数据的实时分析，基于大数据的网络安全态势感知技术能够实现对网络威胁的精准识别和快速响应，为网络空间安全提供有力保障。因此，本文研究了基于大数据的网络安全态势感知技术，通过综述国内外研究现状，分析了大数据处理技术的局限性与网络安全态势感知的融合问题。针对大数据实时性分析难度、数据整合难题和可视化挑战，本文提出了相应的解决策略。通过优化大数据处理算法、提升实时性分析效率、实现数据整合和增强可视化能力，本研究旨在提高网络安全态势感知的准确性和时效性，为网络空间安全提供有效支撑。
关键词：大数据；网络安全态势感知；实时性分析；可视化挑战
Research on network security situational awareness technology based on big data
Abstract：With the rapid development of information technology, cyberspace has become an important cornerstone of national security, economic development and social stability. However, the network security threat is increasingly severe, the traditional security defense means have been difficult to deal with the complex and changeable network attacks. The rise of big data technology has brought new solutions to the field of network security. Through the real-time analysis of massive network data, the network security situational awareness technology based on big data can realize the accurate identification and rapid response to network threats, and provide a strong guarantee for cyberspace security. Therefore, this paper studies the network security situational awareness technology based on big data, and summarizes the current situation of research at home and abroad, and makes an analysis of the limitations of big data processing technology and the integration of network security situational awareness. In view of the difficulty of real-time analysis of big data, data integration problems and visualization challenges, this paper proposes the corresponding solution strategy. By optimizing the big data processing algorithm, improving the efficiency of real-time analysis, realizing the data integration and enhancing the visualization ability, this study aims to improve the accuracy and timeliness of network security situational awareness, and provide effective support for network space security.
Key words: Big data; network security situational awareness; real-time analysis; visualization challenges
目 录
1 绪论 1
1.1 研究背景和意义 1
1.2 国内外研究现状 1
2 相关理论概述 1
2.1 大数据技术概述 1
2.2 网络安全态势感知技术框架 2
2.2.1 网络安全态势感知技术概述 2
2.2.2 网络安全态势感知技术框架构建 2
3 基于大数据的网络安全态势感知技术的应用问题 3
3.1 大数据处理技术的局限性与网络安全态势感知的融合问题 3
3.2 网络安全态势感知中大数据实时性分析难度 3
3.3 大数据环境下的网络安全态势感知数据整合难题 4
3.4 网络安全态势感知系统中大数据的可视化挑战 5
4 基于大数据的网络安全态势感知技术应用问题的对策 5
4.1 突破大数据处理技术的局限性与优化网络安全态势感知融合策略 5
4.2 提升网络安全态势感知中大数据实时性分析效率的方法 6
4.3 解决大数据环境下网络安全态势感知数据整合难题的策略 6
4.4 加强网络安全态势感知系统中大数据可视化能力的技术途径 7
结论 7
参考文献 8
致谢 8
关键词：大数据；网络安全态势感知；实时性分析；可视化挑战
Research on network security situational awareness technology based on big data
Abstract：With the rapid development of information technology, cyberspace has become an important cornerstone of national security, economic development and social stability. However, the network security threat is increasingly severe, the traditional security defense means have been difficult to deal with the complex and changeable network attacks. The rise of big data technology has brought new solutions to the field of network security. Through the real-time analysis of massive network data, the network security situational awareness technology based on big data can realize the accurate identification and rapid response to network threats, and provide a strong guarantee for cyberspace security. Therefore, this paper studies the network security situational awareness technology based on big data, and summarizes the current situation of research at home and abroad, and makes an analysis of the limitations of big data processing technology and the integration of network security situational awareness. In view of the difficulty of real-time analysis of big data, data integration problems and visualization challenges, this paper proposes the corresponding solution strategy. By optimizing the big data processing algorithm, improving the efficiency of real-time analysis, realizing the data integration and enhancing the visualization ability, this study aims to improve the accuracy and timeliness of network security situational awareness, and provide effective support for network space security.
Key words: Big data; network security situational awareness; real-time analysis; visualization challenges
目 录
1 绪论 1
1.1 研究背景和意义 1
1.2 国内外研究现状 1
2 相关理论概述 1
2.1 大数据技术概述 1
2.2 网络安全态势感知技术框架 2
2.2.1 网络安全态势感知技术概述 2
2.2.2 网络安全态势感知技术框架构建 2
3 基于大数据的网络安全态势感知技术的应用问题 3
3.1 大数据处理技术的局限性与网络安全态势感知的融合问题 3
3.2 网络安全态势感知中大数据实时性分析难度 3
3.3 大数据环境下的网络安全态势感知数据整合难题 4
3.4 网络安全态势感知系统中大数据的可视化挑战 5
4 基于大数据的网络安全态势感知技术应用问题的对策 5
4.1 突破大数据处理技术的局限性与优化网络安全态势感知融合策略 5
4.2 提升网络安全态势感知中大数据实时性分析效率的方法 6
4.3 解决大数据环境下网络安全态势感知数据整合难题的策略 6
4.4 加强网络安全态势感知系统中大数据可视化能力的技术途径 7
结论 7
参考文献 8
致谢 8
