Dynamic Mining of Wireless Network Information Transmission Security Vulnerabilities Based on Spatiotemporal Dimension

In order to improve the efficiency of dynamic mining for wireless network information transmission security vulnerabilities and improve the accuracy of mining results, this paper proposes a dynamic mining method for wireless network information transmission security vulnerabilities based on the spatiotemporal dimension. Firstly, collect data on security vulnerabilities in wireless network data transmission; Secondly, wavelet transform is introduced to filter and process wireless network information transmission security vulnerability data; Then, in the deep neural network architecture, the instruction level word embedding method based on Word2vec obtains the feature attributes of wireless network information transmission security vulnerabilities; Finally, dynamically mine wireless network information transmission security vulnerabilities based on the spatiotemporal dimension. The experimental results show that the vulnerability dynamic mining method proposed in this paper takes 25.8 s, with an accuracy of 99.0% and a recall rate of 98.1%, which can improve the effectiveness of vulnerability dynamic mining.