摘要
文章针对大规模通信网络中异构设备、突发流量以及隐蔽攻击等安全威胁,提出一种涉密信息安全动态预警系统。该系统包括信息采集与识别、风险评估与预警、应急响应模块,融合大数据、机器学习、知识图谱等技术,实现对网络安全态势的实时监测、智能分析以及快速响应。实验结果表明,所提出的系统具有较高的未知威胁发现率、较低的未知威胁误报率以及极短的响应时间,在攻防对抗中表现出优异的防御效能。
The article proposes a dynamic warning system for classified information security,targeting security threats such as heterogeneous devices,sudden traffic,and covert attacks in large-scale communication networks.The system includes information collection and recognition,risk assessment and warning,emergency response modules,integrating technologies such as big data,machine learning,and knowledge graphs to achieve real-time monitoring,intelligent analysis,and rapid response to network security situations.The experimental results show that the proposed system has a high unknown threat discovery rate,a low unknown threat false alarm rate,and an extremely short response time,demonstrating excellent defense effectiveness in offensive and defensive confrontations.
作者
赵志刚
ZHAO Zhigang(Aerospace Wanyuan Industrial Co.,Ltd.,Beijing 100076,China)
出处
《通信电源技术》
2024年第17期192-194,共3页
Telecom Power Technology
关键词
通信网络安全
动态预警
大数据
communication network security
dynamic early warning
big data
