基于模式识别的大规模光纤通信网络安全分析模型

Security Analysis of Optical Fiber Communication Network Based on Pattern Recognition

为了准确描述光纤通信网络的安全状态,保证光纤通信网络的安全通信,提出一种基于模式识别的大规模光纤通信网络安全分析模型.收集光纤通信网络安全状态的数据,按3∶1的比例划分为训练集和测试集,采用模式识别对光纤通信网络安全的训练集进行学习,建立光纤通信网络安全预测模型;采用测试集对光纤通信网络安全预测模型的性能进行测试.结果表明,该模型不仅提高了光纤通信网络安全预测精度,加快了光纤通信网络安全分析的速度,而且可以满足复杂多变的光纤通信网络安全分析要求.

In order to accurately describe the optical fiber communication network security status to ensure secure,an optical fiber communication network security analysis model is proposed based on pattern recognition.First of all,optical fiber communication network full state data is collected,and the data is divided into training data and test data according to 3：1,and then pattern recognition is used to learn training data to establish safety prediction model of optical fiber communication network,the test data is used to test the performance of forecast model.The results show that the propose model not only improves the safety prediction accuracy of fiber communication network,but also speeds up the speed of fiber communication network security analysis,and can meet requirements of complex and changeable optical fiber communication network security analysis.