基于大数据的网络异常行为检测技术研究  

Research on Network Abnormal Behavior Detection Technology Based on Big Data

作　　者：高聚鑫 GAO Juxin(Shanxi Institute of Applied Science and Technology,Lvliang 033000,China)

机构地区：[1]山西应用科技学院,山西吕梁033000

出　　处：《数字通信世界》2023年第2期30-32,共3页Digital Communication World

摘　　要：文章所述方案充分发挥大数据处理技术与机器学习在网络异常监测中的优势,有效提升了网络异常行为监测的处理速度、准确性,大大降低了误报率,对大数据处理环境下网络异常行为监测具有一定的理论意义与现实应用价值。The scheme described in this paper gives full play to the advantages of big data processing technology and machine learning in network anomaly monitoring,effectively improves the processing speed and accuracy of network anomaly behavior monitoring,and greatly reduces the rate of false positives.It has certain theoretical significance and practical application value for the monitoring of network abnormal behavior in the big data processing environment.

关 键 词：大数据技术 网络异常行为 技术研究 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]