微型电脑应用2026，Vol.42Issue(7)：46-50,5.
基于攻击行为主动跟踪算法的气象观测信息共享网络入侵检测
Intrusion Detection of Meteorological Observation Information Sharing Network Based on Active Tracking Algorithm of Attack Behavior
摘要
Abstract
The linear correlation of multi-source meteorological observation information increases the impact of data volume on detection results,resulting in lower accuracy of detection results.Therefore,a meteorological observation information sharing network intrusion detection method based on active tracking algorithm of attack behavior is proposed.The article introduces a multi-layer perception model to perceive meteorological observation information sharing network access data in real time.Ab-normal access data is identified through the hidden layer neurons,the outliers of the perceived data are calculated,and the ab-normal range is set to screen out the corresponding data,reducing the impact of data volume.Analyze the correlation of feature associations,and based on the attack behavior active tracking algorithm,track the network behaviors of the identified abnormal data to achieve the intrusion detection process.The experimental results show that the AUC value and detection accuracy ob-tained after the application of the proposed method are relatively high,meeting the practical needs of the security guarantee work for meteorological observation information sharing network.关键词
气象观测信息/信息共享网络/网络入侵/攻击行为主动跟踪算法/入侵检测Key words
meteorological observation information/information sharing network/network intrusion/active tracking algorithm of attack behavior/intrusion detection分类
信息技术与安全科学引用本文复制引用
刘浩,王东岳..基于攻击行为主动跟踪算法的气象观测信息共享网络入侵检测[J].微型电脑应用,2026,42(7):46-50,5.基金项目
黑龙江省气象局2021竞争性科技攻关项目(HQGG202108) （HQGG202108）
