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作 者:张玮[1] 马瑞良 黄震宇 叶子铭 ZHANG Wei;MA Rui-liang;HUANG Zhen-yu;YE Zi-ming(Jiangxi Meteorological Disaster EmergencyWarning Center,Jiangxi Meteorological Service,Nanchang 330096 China;Emergency Management BG,Beijing GS Technology Co.,Ltd.,Beijing 100094 China)
机构地区:[1]江西省气象局江西省气象灾害应急预警中心,江西南昌330096 [2]北京辰安科技股份有限公司应急管理BG,北京100094
出 处:《自动化技术与应用》2023年第6期70-72,81,共4页Techniques of Automation and Applications
摘 要:因网络数据复杂程度的不断提升,导致网络安全预警平台存在吞吐量和CPU使用率低、告警推送的最大时延长的问题,为此,以云计算平台为基础设计网络安全预警平台。通过设计网络安全预警的云平台架构,给出主机和监控云平台供电电路,完成了平台的硬件改进;在平台的软件设计中,采集网络安全预警数据,以此构建网络安全预警监控模型,实现了网络安全预警软件算法改进设计。实验结果表明,在海量网络数据冲击下,该平台吞吐量和CPU使用率较高,告警推送的最大时延较低,能够提高网络安全预警平台的整体性能。Due to the increasing complexity of network data,the network security early warning platform has the problems of low throughput and CPU utilization,and the maximum time extension of alarm push.Therefore,the network security early warning platform is designed based on cloud computing platform.By designing the cloud platform architecture of network security early warning,the power supply circuit of host and monitoring cloud platform is given,and the hardware improvement of the platform is completed;The network early warning software is designed to improve the network security early warning algorithm.The experimental results show that under the impact of massive network data,the throughput and CPU utilization of the platform are high,and the maximum delay of alarm push is low,which can improve the overall performance of the network security early warning platform.
分 类 号:TP393.08[自动化与计算机技术—计算机应用技术]
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