基于新型光交换技术的激光传感器光网络安全态势感知

为了提高激光传感器光网络安全管理即时性,判断网络安全态势,基于新型光交换技术,提出了一种新的激光传感器光网络安全态势感知方法。分析光交换新技术,了解运用机理,综合激光传感器光网络中的各种风险要素,了解网络中潜在的安全风险系数,构建维护信息安全的风险评估模型,降低风险要素的不确定性;融合自律计算系统,实时分析信息安全状况,建立多级网络安全态势评估模型,并将遗传神经网络引入该模型中,高效预测光网络安全态势。仿真结果表明,该方法能动态反映网络安全状况,预测网络安全形势的发展趋势。趋势值与实际值的拟合度为98%,信息集成度为95%。为提高光网络的安全性能提供了实际应用参考。

Security situation awareness of laser sensor optical network based on new optical switching technology

In order to improve the immediacy of laser sensor optical network security management and judge the network security situation,a new method of laser sensor optical network security situation awareness is proposed based on the new optical switching technology.This paper analyses the new technology of optical switching,understanding the application mechanism and integrates various risk elements in the laser sensor optical network while researching the potential security risk coefficient in the network,thus constructing the risk assessment model for maintaining information security.The research aims to reduce the uncertainty of risk elements;integrates the self-discipline computing system,analyse the information security status in real-time,and establish a multi-level Network Security Situation Assessment Model.The neural network is introduced into the model to predict the security situation of the optical network efficiently.The simulation results show that the method can dynamically reflect the network security situation and predict the network security situation’s development trend.The fitting degree of trend value and the actual value is 98%,and the information integration degree is 95%.It provides a practical reference for improving the security performance of the optical network.