The heterogeneous information security transmission algorithm of loT based on deep convolutional neural network
In order to improve the security of information transmission in the Internet of Things,a secure transmission algorithm of heterogeneous information in the Internet of Things based on deep convolutional neural network is proposed.Based on the establishment of convolutional neural network infrastructure,a deep convolutional neural network model is constructed,and the average value of heterogeneous data feature points is calculated by means of mean pooling method to classify heterogeneous data features and complete the feature recognition of heterogeneous data in the Internet of Things.Asymmetric encryption is performed on heterogeneous data of the Internet of Things after feature recognition,and the secure transmission of heterogeneous data of the Internet of Things is completed by combining digital signature technology.The simulation test results show that the time complexity,response time and packet loss rate of this method are low,and the bandwidth utilization rate is high.
deep convolutional neural networkInternet of Thingsheterogeneous informationsecure transmission
NETL
NSTL
万方数据
