Research on Detection Method of Wireless Communication Network Security Vulnerability Based on Sequence Model

Abstract

In order to improve the security of wireless communication network, this paper proposes a security vulnerability detection method of wireless communication network based on sequence model. The transmission node fusion and positioning model of wireless communication network is constructed, the regional block feature matching and fusion degree parameter analysis in the process of wireless communication network vulnerability detection are realized by adopting the node global coverage method, the feature sequence scalar analysis model of wireless communication network security vulnerability distribution is constructed, and the channel balance design in the process of wireless communication network security vulnerability detection is realized by adopting the feature space fusion and communication channel balance configuration method. The random sequence distributed fusion model is used to optimize the parameters in the process of wireless communication network security vulnerability detection, and the autocorrelation feature matching method is used to realize the optimized detection of wireless communication network security vulnerabilities. The simulation results show that this method has better control ability in searching for security vulnerabilities in wireless communication networks, improves the output balance and security of wireless communication networks, and reduces the bit error rate of data transmission in wireless communication networks.