Research on the design of computer network security defense system applying cloud computing technology

[1] Deng, Y. J., Li, Y. Q., Qin, Y. H., Dong, M. R., & Liu, B. (2020). Optimal defense resource allocation for attacks in wireless sensor networks based on risk assessment model. Chaos, Solitons & Fractals, 137. Search in Google Scholar

[2] Ni, Z., Li, Q., & Liu, G. (2018). Game-model-based network security risk control. Computer, 51(4), 28-38. Search in Google Scholar

[3] Jyothi, V., Addepalli, S. K., & Karri, R. (2018). Dpfee: a high performance scalable pre-processor for network security systems. IEEE Transactions on Multi-Scale Computing Systems, 1-1. Search in Google Scholar

[4] Jiang, C. (2022). Network security and ideological security based on wireless communication and big data analysis. Wireless Communications and Mobile Computing, 2022(3), 1-6. Search in Google Scholar

[5] Patil, H. K., & Chen, T. M. (2017). Wireless sensor network security: the internet of things - sciencedirect. Computer and Information Security Handbook (Third Edition), 317-337. Search in Google Scholar

[6] Vajjha, H. V. V., & Sushma, P. (2021). Techniques and limitations in securing the log files to enhance network security and monitoring. Solid State Technology, 64(2), 1-8. Search in Google Scholar

[7] Alejandro, M. Z., Jorge, B. B., Ivan, F., Yacine, K., Tarik, T., & Antonio, S. (2018). Enhancing iot security through network softwarization and virtual security appliances. International Journal of Network Management, 28, e2038-. Search in Google Scholar

[8] Wang, Y., Ma, J., Sharma, A., Singh, P. K., Gaba, G. S., & Masud, M., et al. (2021). An exhaustive research on the application of intrusion detection technology in computer network security in sensor networks. Journal of Sensors. Search in Google Scholar

[9] Kang, Y., Zhong, J., Li, R., Liang, Y., & Zhang, N. (2021). Classification method for network security data based on multi-featured extraction. International Journal on Artificial Intelligence Tools. Search in Google Scholar

[10] Guang, K., Shuo, W., & Guangming, T. (2019). Research on key technologies of network security situational awareness for attack tracking prediction. Chinese Journal of Electronics, 28(01), 166-175. Search in Google Scholar

[11] Lorenz, C., Hock, D., Scherer, J., Durner, R., Kellerer, W., & Gebert, S., et al. (2017). An sdn/nfv-enabled enterprise network architecture offering fine-grained security policy enforcement. IEEE Communications Magazine, PP(3), 2-8. Search in Google Scholar

[12] Li, Y., Hua, N., Yu, Y., Luo, Q. S., & Zheng, X. (2018). Light source and trail recognition via optical spectrum feature analysis for optical network security. IEEE Communications Letters, 1-1. Search in Google Scholar

[13] Yang, X., Chen, P., Gao, S., & Niu, Q. (2018). Csi-based low-duty-cycle wireless multimedia sensor network for security monitoring. Electronics Letters, 54(5), 323-324. Search in Google Scholar

[14] Sun, N., Li, T., Song, G., & Xia, H. (2021). Network security technology of intelligent information terminal based on mobile internet of things. Mobile Information Systems. Search in Google Scholar

[15] Zhan, K. (2021). Design of computer network security defense system based on artificial intelligence and neural network. Journal of Intelligent and Fuzzy Systems, (9), 1-13. Search in Google Scholar

[16] Enoch, S. Y., Moon, C. Y., Lee, D., Ahn, M. K., & Kim, D. S. (2022). A practical framework for cyber defense generation, enforcement and evaluation. Computer Networks, 208, 108878-. Search in Google Scholar

[17] Ding, S., Zhang, Z., & Xie, J. (2020). Network security defense model based on firewall and ips. Journal of Intelligent and Fuzzy Systems, 39(12), 1-9. Search in Google Scholar

[18] Dong, C., & Zhao, L. (2019). Sensor network security defense strategy based on attack graph and improved binary pso. Safety Science, 117, 81-87. Search in Google Scholar