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大数据下的网络安全态势感知系统研究

Research on network security situation awareness system under big data
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摘要 该研究旨在构建和完善大数据环境下的网络安全态势感知系统。通过分析系统平台架构和技术架构,研究了系统在安全防御、威胁情报获取与共享、资产状态持续监测等方面的设计与实现。研究结果表明,系统通过集成多种安全技术和大数据分析方法,显著提升了异常检测和攻击链分析的准确性和响应速度。研究成果对于提升企业网络安全防护能力,及时应对和处理潜在威胁具有重要意义,未来将继续优化系统功能,深化大数据与人工智能技术的融合。 This study aims to construct and improve a network security situation awareness system in the big data environment.By analyzing the system platform architecture and technical architecture,the design and implementation of the system in security defense,threat intelligence acquisition and sharing,and continuous monitoring of asset status are studied.The research results indicate that the system significantly improves the accuracy and response speed of anomaly detection and attack chain analysis by integrating multiple security technologies and big data analysis methods.The research results are of great significance for enhancing the network security protection capabilities of enterprises,timely responding to and dealing with potential threats.The optimization of the system functions will be continued,and the integration of big data and artificial intelligence technology will be deepened in the future.
作者 卢毅 LU Yi(College of Computer Science and Technology,Hubei University of Science and Technology,Xianning 437100,China)
出处 《无线互联科技》 2024年第22期115-118,共4页 Wireless Internet Science and Technology
关键词 大数据 网络安全 态势感知 系统平台 big data network security situation awareness system platform
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