IoT devices have been widely used in various fields.In order to ensure the security of the Internet of Things and eliminate internal hidden dangers,an automatic security monitoring method for IoT sensing devices is designed based on efficient indexing technology of time series feature data.Combined with the efficient indexing technology of time series fea-ture data to extract the networking information features,on the basis of the message transmission process,distinguish the differences between different traffic data,the characteristics of the system between malicious attack software and sensing de-vices,calculate the representative values of sample data,and obtain the original information features of the sensing devices of the Internet of Things.Classify the data features,calculate the missing and wrong values in the data,get the screening and optimization results of feature vectors,calculate the training loss function,adjust the threshold value of actual operation,and ensure the accuracy of data feature classification.Build the monitoring model of IoT sensing devices,train discrimina-tors,and conduct automatic monitoring of the Internet of Things.Data packets,bytes and data traffic are identified respec-tively.This monitoring technology can accurately distinguish benign data and attack data,so as to ensure the security of IoT sensing devices.
关键词
时序特征数据/高效索引技术/物联网/感知设备安全/自动监测技术
Key words
time series characteristic data/efficient indexing technology/internet of things/perceive device security/au-tomatic monitoring technology
维普
万方数据