Dynamic Early Warning System for Classified Information Security in Large-Scale Communication Networks
With the rapid development of large-scale communication networks,the problem of classified information security has become increasingly prominent.In order to effectively respond to network security threats,the article proposes a dynamic early warning system based on data analysis and machine learning.The system establishes a network security threat database by collecting network traffic data and log information,and then utilizes techniques such as data mining and machine learning to automatically identify security threats,and combines with real-time monitoring and alarm mechanisms to dynamically warn of security threats in large-scale communication networks in real time.
large-scale communication networksecurity of classified informationdynamic early warningdata analysismachine learning
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