基于深度学习的网络流量异常检测技术研究与应用  

Research and application of network traffic anomaly detection technology based on deep learning

作　　者：张爽 王浩 ZHANG Shuang;WANG Hao(Chengwu County Health Bureau,Heze,Shandong 274200,China;Chengwu County Bureau for Letters and Calls,Heze,Shandong 274200,China)

机构地区：[1]成武县卫生健康局,山东菏泽274200 [2]成武县信访局,山东菏泽274200

出　　处：《计算机应用文摘》2025年第6期176-178,共3页

摘　　要：文章全面阐述了基于深度学习的网络流量异常检测技术的现状,深入剖析了面临的挑战,并针对性地提出了应对策略。通过对该技术在网络安全领域的重要性及应用情况的研究,为提升网络安全防护水平提供了有力支持。This paper focuses on the network traffic anomaly detection technology based on deep learning,comprehensively describes its current situation,in-depth analysis of the challenges faced,and put forward countermeasures.Through the research on the importance and application of this technology in the field of network security,it provides strong support for improving the level of network security protection.

关 键 词：深度学习 网络流量异常检测 数据处理 模型解释性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]