摘要
本文对于无线传感器网络安全进行了分析,阐述了基于RS-SVM的无线传感器网络入侵检测模型所涉及到的理论及技术,即粗糙集理论、支持向量机和狼群算法,最后对模型进行了整体阐述,总结了仿真实验的结果,以期为无线传感器网络的入侵检测提供实用模型。
In this paper,the security of Wireless Sensor Networks is analyzed,and the theory and technology involved in the intrusion detection model of Wireless Sensor Networks based on RS-SVM,namely Rough Set theory,Support Vector Machine and wolf swarm algorithm,are elaborated.Based on the above,the model is described as a whole,and the results of simulation experiments are summarized in order to provide a practical model for intrusion detection of wireless sensor networks.
作者
张志霞
ZHANG Zhixia(Guangdong College of Business and Technology(undergraduate),Zhaoqing Guangdong 526020,China)
出处
《智能计算机与应用》
2019年第3期319-320,323,共3页
Intelligent Computer and Applications
基金
肇庆市科技创新指导类项目(201604030902)
关键词
粗糙集
支持向量机
网络入侵检测
Rough Set
Support Vector Machine
network intrusion detection
