摘要
对人工智能技术下网络安全自动化预警系统进行研究,使用PowerEdge R540机架式服务器设计网络探头,选择32位RISC处理器作为系统核心控制芯片。在对数据进行智能分析时,使用归一化处理以及关联规则,增强数据分析的全面性。根据网络数据分析结果,构建网络安全预警模型。至此,人工智能技术下的网络安全自动化预警系统设计完成。构建系统测试环节,对系统的数据处理能力以及预警能力进行验证。经测试结果证实,此系统具有较高的数据分析能力,可有效缩短预警信息发布耗时。
The network security automatic early warning system based on artificial intelligence technology is studied.The PowerEdge R540 rack server is used to design the network probe,and the 32-bit RISC processor is selected as the core control chip of the system.In the intelligent analysis of data,normalization processing and association rules are used to enhance the comprehensiveness of data analysis.According to the analysis results of network data,a network security early warning model is built.So far,the design of network security automatic early warning system based on artificial intelligence technology has been completed.Build a system test link to verify the data processing capability and early warning capability of the system.The test results show that this system has a high data analysis ability,which can effectively reduce the time consumption of early warning information release.
作者
吴碧霞
WU Bixia(Minbei Vocational and Technical College,Nanping Fujian 353000,China)
出处
《佳木斯大学学报(自然科学版)》
CAS
2023年第5期46-49,103,共5页
Journal of Jiamusi University:Natural Science Edition
关键词
人工智能技术
网络安全预警
性能分析
预警效率
artificial intelligence technology
network security early warning
performance analysis
early warning efficiency