基于人工智能的復(fù)雜網(wǎng)絡(luò)異常行為檢測(cè)系統(tǒng)界面設(shè)計(jì)

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doi：10.3969/J.ISSN.1672-7274.2025.06.022

中圖分類號(hào)：TP181；TP3 文獻(xiàn)標(biāo)志碼：B 文章編碼：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

隨著網(wǎng)絡(luò)規(guī)模的迅速擴(kuò)張和復(fù)雜程度的不斷增加，網(wǎng)絡(luò)中的異常行為對(duì)系統(tǒng)穩(wěn)定性和信息安全構(gòu)成嚴(yán)峻挑戰(zhàn)。（剩余4691字）