Abstract
Computer network security has always been the focus of people's attention, aiming at this problem, this paper will focus on the neural network algorithm research. Firstly, the present situation of computer network security is introduced. Secondly, the concept of neural network algorithm is introduced. Then, the computer network security evaluation system is established by using the algorithm. Through research, the neural network algorithm can accurately evaluate the level of computer network security, point out the vulnerabilities, and give protection suggestions for vulnerabilities, so rely on this algorithm to constantly improve the level of computer network security.
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References
Wang D, Shuai X, Hu X, et al.: Research on computer network security evaluation method based on Levenberg-Marquardt algorithms. In: 2019 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE (2019)
Guan, C., Yang, Y.: Research of computer network security evaluation based on backpropagation neural network. In: 2019 IEEE International Conference on Power,Intelligent Computing and Systems (ICPICS). IEEE (2019)
Tang, Y., Elhoseny, M.: Computer network security evaluation simulation model based on neural network. J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 3(1), 37 (2019)
Bryant, B., Saiedian, H.: An evaluation of videogame network architecture performance and security. Comput. Netw. 192(5), 108128 (2021)
Kou, G., Wang, S., Tang, G.: Research on Key Technologies of Network Security Situational Awareness for Attack Tracking Prediction. Chin. J. Electron. 28(01), 166–175 (2019)
Meland, P.H., Bernsmed, K., Frystad, C., et al.: An experimental evaluation of bow-tie analysis for security. Inf. Manag. Comput. Secur. 27(4), 536–561 (2019)
Li, X., Chen, H., Ariann, B.: Computer network security evaluation model based on neural network. J. Intell. Fuzzy Syst. Appl. Eng. Technol. 1(1), 37 (2019)
Bensalah, F., Bahnasse, A., Hamzaoui, M.E.: Quality of service performance evaluation of next-generation network. In: 2019 2nd International Conference on Computer Applications&Information Security (ICCAIS) (2019)
Yang, J., Li, T., Liang, G., et al.: A hierarchy distributed-agents model for network risk evaluation based on deep learning. Comput. Model. Eng. Sci. 120(1), 1–23 (2019)
Mahmoud, L.: Network security evaluation using deep neural network. In: 2020 15th International Conference for Internet Technology and Secured Transactions (ICITST) (2020)
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Zhang, S. (2023). Computer Network Security Evaluation Based on Neural Network Algorithm. In: Atiquzzaman, M., Yen, N.Y., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 168. Springer, Singapore. https://doi.org/10.1007/978-981-99-1157-8_65
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DOI: https://doi.org/10.1007/978-981-99-1157-8_65
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1156-1
Online ISBN: 978-981-99-1157-8
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