传感技术学报2025，Vol.38Issue(3)：526-532,7.DOI:10.3969/j.issn.1004-1699.2025.03.020
基于特征选择的无线传感网络攻击流量快速阻断研究
Research on Fast Blocking of Attack Traffic in Wireless Sensor Networks Based on Feature Selection
摘要
Abstract
Wireless sensor networks have large data traffic and many features.Attackers in wireless sensor networks will use normal data features to conceal their attack behavior.In order to effectively identify and quickly block attack traffic,a feature selection based method for quickly blocking attack traffic in wireless sensor networks is proposed.The TF-IDF algorithm is used to extract traffic data features,reduce the interference of normal traffic features,make hidden features easier to identify,and select features through information entropy gain ratio to remove redundant feature vectors,further improving the accuracy of network attack traffic recognition.By utilizing the prin-ciple of random forest,a model for identifying and blocking attack traffic is constructed to accurately and quickly identify attack traffic,and trace and block the identified attack traffic to ensure the safe operation of wireless sensor networks.The results show that the highest blocking accuracy of the proposed method can reach 99.23%,the network throughput is 45 bit/s,and the data packet transmission rate is above 16 bit/s,demonstrating good blocking effect.关键词
无线传感网络/攻击流量/快速阻断/TF-IDF算法/随机森林Key words
wireless sensor network/attack traffic/rapid blockade/TF-IDF algorithm/random forest分类
信息技术与安全科学引用本文复制引用
陈孝如,程学军,曾碧卿..基于特征选择的无线传感网络攻击流量快速阻断研究[J].传感技术学报,2025,38(3):526-532,7.基金项目
广东省普通高校特色创新科研基金项目(2021KSCX160) （2021KSCX160）
