Research on Dynamic Early Warning System for Confidential Information Security in Large-Scale Communication Networks
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.
communication network securitydynamic early warningbig data
万方数据
维普
