Recurrent neural network technology in wireless communication network security risk prediction

Jing Cai

doi:10.1117/12.2644610

10 November 2022 Recurrent neural network technology in wireless communication network security risk prediction

Jing Cai

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123010J (2022) https://doi.org/10.1117/12.2644610
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

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.

Citation Download Citation

Jing Cai "Recurrent neural network technology in wireless communication network security risk prediction", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123010J (10 November 2022); https://doi.org/10.1117/12.2644610

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