核心網(wǎng)用戶面異常流量智能化檢測(cè)創(chuàng)新方案與實(shí)踐
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關(guān)鍵詞：核心網(wǎng)；ResNet；LSTM；simpleCNN；異常檢測(cè)；自動(dòng)化
doi：10.3969/J.ISSN.1672-7274.2025.04.034
中圖分類號(hào)：TN929.53 文獻(xiàn)標(biāo)志碼：B 文章編碼：1672-7274（2025）04-0099-03
Abstract： With the rapid development of big data，cloud computing，artificial intellgence，and 5G technology， network applications have become increasingly widespread and convenient.By 2O24，the number of Internet users inthe World willreach6bilion，anincreaseof3.3billionover2014，and the Internet penetrationratehas reached 76% .This huge scale of internet users has brought a massive amount of online user traffc，including both normal and abnormal traffic.Therefore，the detection technologyof abnormal user trafc is crucial for improving network information security. As a mainstream core network equipment provider， ZTE is commited to providing innovative technologies and solutions for global telecommunications operators，consumers，and more.By combining ResNet （Residual Network），LSTM（Long Short Term Memory），and SimpleCNN（Simple Convolutional Neural Network） neural network models，ZTE has successfully achieved automated anomaly detection of user plane data streams， which is expected to provide some help for the digitization of core network delivery and operation.
Keywords： core network; ResNet; LSTM; simpleCNN; anomaly detection; automation
研究背景
動(dòng)化技術(shù)顯得尤為迫切。（剩余3935字）