基于离群点检测算法的无线网络动态数据完整性检测方法  

Dynamic data integrity detection method for wireless networks based on machine learning

作　　者：朱木清[1] 文谧 ZHU Muqing;WEN Mi(Huali College Guangdong University Technology,Guangzhou 511325;Guangzhou College of Applied Science and Technology,Guangzhoo 511370)

机构地区：[1]广东工业大学华立学院,广州511325 [2]广州应用科技学院,广州511370

出　　处：《自动化与仪器仪表》2021年第9期34-37,44,共5页Automation & Instrumentation

基　　金：广东高校省级重点平台和重大科研项目(青年创新人才类)"基于学科知识库的问答系统研究及应用"(No.2016KQNCX212)。

摘　　要：无线网络动态数据完整性呈非线性分布,数据结构较为复杂,完整性检测效果较差。为此,设计基于离群点检测算法的无线网络动态数据完整性检测方法。设计离群点检测算法动态数据生成层的数据组结构,据此得到机器计量数据学习离群点,根据数据学习离群点位置,计算动态数据完整性检测指标。构建动态数据完整性检测算法,完成无线网络动态数据完整性检测。实验结果表明,所提出方法的动态数据检定信号置换率最高为50.0%。证明该方法完整性检测效果更好。The dynamic data integrity of the wireless network is non-linearly distributed,the data structure is more complex,and the integrity detection effect is poor.For this reason,a wireless network dynamic data integrity detection method based on outlier detection algorithm is designed.The data group structure of the dynamic data generation layer of the outlier detection algorithm is designed to obtain the learning outliers of the machine measurement data,and the dynamic data integrity detection index is calculated according to the position of the learning outliers.The dynamic data integrity detection algorithm is constructed to complete the dynamic data integrity detection of wireless network.The experimental results show that the dynamic data verification signal replacement rate of the proposed method is up to 50.0%.It proves that the method has better integrity detection effect.

关 键 词：离群点检测算法 无线网络 动态数据 完整性检测 学习离群点 监督层 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]