Abstract

In order to improve the security of wireless random deployment deep exchange information network, it is necessary to monitor the network security situation and build a security information detection model of wireless random deployment deep exchange information network. This paper proposes a network security awareness method based on Python language, constructs a wireless random deployment deep exchange information network security situation monitoring information collection and dynamic information fusion model, extracts the statistical features of wireless random deployment deep exchange information network security information, determines the amplitude-frequency response of wireless random deployment deep exchange information network situation awareness according to the residual distribution of intrusion signals, and selects different notch filter frequency parameters. Using the basis function set stability evolution characteristic analysis method, the spectrum characteristic quantity of the security situation monitoring of the wireless random deployment deep exchange information network is obtained, and the security situation information perception and monitoring of the wireless random deployment deep exchange information network are carried out. Software design of security situation monitoring using Python language. Simulation results show that this method has a good level of information fusion and better ability of feature recognition in monitoring the security situation of wireless random deployment deep exchange information network, which improves the security of wireless random deployment deep exchange information network.

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