基于机器学习算法的光纤通信网络风险智能监测方法

Intelligent Risk Monitoring Method for Optical Fiber Communication Network Based on Machine Learning Algorithm

为了提高网络风险的监测准确度,提出基于机器学习算法的光纤通信网络风险的智能监测方法。首先通过采集通信网络安全漏洞信息将数据进行迭代分析,其次通过对漏洞信息的预处理对储存管理服务器中的数据进行分层判定。并通过机器学习算法整合识别用户身份信息来完成整体的智能监测。最后通过测试对比传统监测方式得到结果:采用机器学习算法能更加精准有效地捕捉到网络中的异常行为,提高监测数据的精准度。

In order to improve the accuracy of network risk monitoring,an intelligent monitoring method of optical fiber communication network risk based on machine learning algorithm is proposed.Firstly,the data is analyzed iteratively by collecting the information of communication network security vulnerabilities,and then the data in the storage management server is layered by preprocessing the vulnerability information.The machine learning algorithm is used to integrate and identify user identity information to complete the overall intelligent monitoring.Finally,the results obtained by testing and comparing with traditional monitoring methods:machine learning algorithm can more accurately and effectively capture abnormal behaviors in the network and improve the accuracy of monitoring data.