现代电子技术2016，Vol.39Issue(17)：82-83,88,3.DOI:10.16652/j.issn.1004-373x.2016.17.020
基于光伏电站的无线传感网络恶意节点识别与隔离研究
Study on WSN malicious nodes identification and isolation for PV power plant
摘要
Abstract
The exposed information nodes of PV power plant are easy to be trapped as the malicious nodes by the outside world,which leads to the information disclosure. How to effectively extract the characteristics of malicious nodes for identifica⁃tion and isolation is an important issue. On the basis of the project experience and previous research of the established informa⁃tion PV power plant,a new method based on AdaBoosting algorithm to identify and isolate the malicious nodes is proposed. The simulation results of the algorithm show that the misdetection rate is low and the accuracy of malicious nodes detection is high with the increase of iterations.关键词
光伏电站/无线传感器网络/恶意节点/特征提取/AdaBoosting算法Key words
PV power plant/WSN/malicious node/feature extraction/AdaBoosting algorithm分类
信息技术与安全科学引用本文复制引用
饶芳,谭建军,徐鹏飞,钟万熊,黄定懿..基于光伏电站的无线传感网络恶意节点识别与隔离研究[J].现代电子技术,2016,39(17):82-83,88,3.基金项目
国家自然科学基金地区基金资助项目 （）
