Abstract
In recent years, many wireless network security risks are caused by information explosion and the interconnection of all things. Data mining technology has been applied in the field of wireless communication to solve the problems of wireless network security risks. This paper introduces the construction of wireless communication network security risk prediction model and the implementation of prediction scheme based on recurrent neural network(RNN), which provides an effective method for mobile wireless network security data prediction.
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