Secure Access Method of Internet of Things Terminal Based on Improved Machine Learning Algorithm
In order to solve the problem of low reliability of access results when there are many terminal access devices,a secure access method of IoT terminals based on improved machine learning algorithm is proposed.According to the principle of identi-fication and collectability of IoT terminal equipment,after extracting the information of IoT terminal equipment by using SDK interface,we encode and extract the corresponding traffic of IoT terminal equipment according to the information,generate e-quipment fingerprint information and build the fingerprint information database of IoT terminal equipment.The fingerprint of IoT terminal equipment is taken as the input,the improved naive Bayesian algorithm is used to optimize the fingerprint informa-tion base of matching equipment.If the matching is successful,it is allowed to access,otherwise it is rejected to realize the se-cure access process of IoT terminal.The experimental results show that the corresponding values of the equilibrium point of the P-R curve of this method are about 0.88 and 0.83 respectively,and the reliability of the access results is high,which can effec-tively realize the negative sample matching of IoT terminal equipment and ensure the safe access of equipment.
improving machine learningInternet of Thingssecure terminal accessnaive Bayesdevice fingerprint
万方数据
维普
