现代电子技术2018，Vol.41Issue(5)：33-36,4.DOI:10.16652/j.issn.1004-373x.2018.05.008
基于成本敏感遗传算法的WSN入侵安全检测研究
Research on WSN intrusion security detection based on cost sensitive genetic algorithm
摘要
Abstract
In order to reduce the cost of energy consumption and improve the accuracy of WSN intrusion detection,a WSN intrusion detection method based on cost sensitive genetic algorithm is proposed. The cost sensitive thought in WSN intrusion detection is elaborated. According to the accuracy rate and time consumption of WSN intrusion detection,and total cost corre-sponding to time consumption,the cost sensitive genetic algorithm is used to construct the optimization model of WSN intrusion detection. On this basis,the genetic operation is performed to realize the optimal allocation of detection duration time,detection accuracy and detection energy cost of each sensor in WSN intrusion detection process,so as to provide the accurate basis for energy cost control in WSN intrusion detection process. The simulation experimental results show that the improved algorithm can reduce the energy cost of intrusion detection and improve the detection accuracy for WSN intrusion detection,and has satis-fied effect.关键词
成本敏感/遗传算法/传感器/准确率/WSN/入侵Key words
cost sensitivity/genetic algorithm/sensor/accuracy rate/WSN/invasion分类
信息技术与安全科学引用本文复制引用
李国庆..基于成本敏感遗传算法的WSN入侵安全检测研究[J].现代电子技术,2018,41(5):33-36,4.基金项目
国家自然科学基金面上项目:面向物联网的煤矿瓦斯时空异常探测启发式模型与可靠性编码方法研究(61379100)Project Supported by National Nature Science Foundation of China:Research on Heuristic Model and Reliability Coding Method of Coal Mine Gas Spatiotemporal Anomaly Detection based on Internet of Things(61379100) （61379100）
