Security Feature Inference of Smart City Internet of Things Based on Transfer Learning
In the smart city Internet of Things,due to the limitation of cost,the security situation awareness soft radar nodes are installed sparsely,and its security situation awareness coverage and granularity are also limited,and the security perception accuracy is low.In order to infer the potential security features of the vacant area that cannot be covered by the security situation awareness equipment and improve the accuracy of security identification,the author designed a smart city Internet of Things security situation awareness evaluation framework based on mobile device soft radar,proposed a security potential feature inference algorithm based on transfer learning,and guaranteed the safe operation of smart city Internet of Things.
Internet of Thingsnetwork securitysecurity situation awarenesstransfer learning
NETL
NSTL
万方数据
