Research on abnormal monitoring method of IoT terminal security situation
To solve the problem of the low accuracy of IoT terminal security situation anomaly monitoring,a method of IoT terminal security situation anomaly monitoring based on fingerprint feature recognition is pro-posed.The characteristic information elements are exacted in the process of data packet transmission,and the transmission characteristics in the IoT terminal are determined to construct the model classification fea-ture fingerprint database of the IoT terminal.According to the samples in the fingerprint feature library,the hypothesis test and identification of abnormal security situation of IoT terminal are carried out,and finally the abnormal security situation monitoring of IoT terminal is realized.The experiment results show that the proposed method can effectively monitor the abnormal state of security situation of IoT terminal,and the mo-nitoring accuracy is higher than 85％,which fully verifies the application value of this method.
fingerprint feature recognitionIoT terminalsecurity situationabnormal monitoringhypoth-esis test
NETL
NSTL
万方数据
