基于大数据技术的无线通信网络异常入侵行为检测方法  

Detection Method of Abnormal Intrusion Behavior of Wireless Communication Network Based on Big Data Technology

作　　者：黄鹏宇[1] 鞠亚军[1] 成礼勇[1] HUANG Pengyu;JU Yajun;CHENG Liyong(Jiangsu Agri-animal Husbandry Vocational College,Taizhou,Jiangsu,225300 China)

机构地区：[1]江苏农牧科技职业学院,江苏泰州225300

出　　处：《长江信息通信》2025年第1期185-187,共3页Changjiang Information & Communications

摘　　要：针对通信网络异常入侵检测,传统方法难以准确反映网络状态。设计了基于大数据技术的检测方法,全局提取异常入侵特征,避免检测失误。该方法通过安全数据采集、预处理、分析、存储和可视化,确保检测准确性。设置异常节点权值小,正常节点权值大,满足检测需求。实验证明,该方法检测准确性高,适用于实际应用。Traditional methods are difficult to accurately reflect the network status for abnormal intrusion detection in communication networks.Designed a detection method based on big data technology to globally extract abnormal intrusion features and avoid detection errors.This method ensures detection accuracy through secure data collection,preprocessing,analysis,storage,and visualization.Set the weight of abnormal nodes to be small,while the weight of normal nodes is large,meeting the detection requirements.Experimental results have shown that this method has high detection accuracy and is suitable for practical applications.

关 键 词：大数据技术 无线通信 通信网络 异常入侵 入侵行为 检测方法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]