基于注意力机制的无线通信网络数据流异常识别研究  

Study on Anomaly Identification of Data Flow in Wireless Communication Network Based on Attention Mechanism

作　　者：李凡 LI Fan(School of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu 476000,China)

机构地区：[1]商丘工学院信息与电子工程学院,河南商丘476000

出　　处：《通信电源技术》2025年第7期4-6,共3页Telecom Power Technology

摘　　要：为有效识别并应对数据流中的异常行为,保证无线通信网络的稳定与安全,提出基于注意力机制的无线通信网络数据流异常识别研究。通过分析无线通信网络数据流的结构,提取无线通信网络异常数据流特征。以提取的特征为输入,结合注意力机制算法,构建异常检测模型,判定网络数据流信息的类别。通过计算识别网络异常数据所需的时间,并将这个时间与异常特征向量融合,识别出无线通信网络中的异常数据。实验结果表明,基于注意力机制的无线通信网络数据流异常识别方法具有显著优势,能够提高异常识别的准确率和可靠性。In order to effectively identify and deal with abnormal behavior in data flow and ensure the stability and security of wireless communication network,a research on abnormal identification of data flow in wireless communication network based on attention mechanism is proposed.By analyzing the structure of the data flow of wireless communication network,we extract the abnormal data flow characteristics of wireless communication network.Taking the extracted features as input and combined with the attention mechanism algorithm,the anomaly detection model is constructed to determine the category of network data flow information.By calculating the time required to identify the network abnormal data,and integrating this time with the abnormal feature vector,the abnormal data in the wireless communication network is identified.The experimental results show that the anomaly identification method of wireless communication network has significant advantages and can improve the accuracy and reliability of anomaly identification.

关 键 词：数据流 无线通信网络 异常识别 网络数据异常 注意力机制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]