基于人工智能的复杂网络异常行为检测系统界面设计

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doi:10.3969/J.ISSN.1672-7274.2025.06.022

中图分类号:TP181;TP3 文献标志码:B 文章编码:1672-7274(2025)06-0065-04

Interface Design of Complex Network Abnormal Behavior Detection System Based on Artificial Intelligence

ZHANG Tingting (ChifengVocational College of Applied Technology,Chifeng O24oo5,China)

Abstract: Inorder to meet therequirements of high efficiency,real-time performance,and accuracy in detecting abnormal behaviors in complex networks,a detection system interface based on hierarchical architecture and optimized algorithms is designed.By combining the improved LSTM Auto Encoder model and distributed computing technology,efcient processingand anomalydetection ofmillonsofnodedata have beenachieved.The results show that the system performs excelently in real-time, detection accuracy,and user interaction experience, with strong scalability and adaptability,providing technical support for intelligent management of complex networks.

Keywords: complex network; abnormal behavior detection; interface design; hierarchical architecture

0 引言

随着网络规模的迅速扩张和复杂程度的不断增加,网络中的异常行为对系统稳定性和信息安全构成严峻挑战。(剩余4691字)

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