Threat Factors and Prevention Strategies for Computer Network Security
Keywords:
Computer network security, Influencing factors, Preventive strategiesAbstract
With the rapid development of Internet technology, computer network has become an indispensable part of modern society. Computer networks play a crucial role in personal life, business operations, and national management. However, with the popularization of network applications, network security issues have become increasingly prominent and have become an important factor restricting the development of computer networks. Therefore, strengthening research on network security technology during the operation of computer systems, analyzing influencing factors, and timely preventing and controlling related risks are of great significance for ensuring the effective application of computer network technology.
References
Xu, Y., Gao, W., Wang, Y., Shan , X., & Lin, Y.-S. (2024). Enhancing user experience and trust in advanced LLM-based conversational agents. Computing and Artificial Intelligence, 2(2), 1467. https://doi.org/10.59400/cai.v2i2.1467
Chen, J., Lin, Q., & Allebach, J. P. (2020). Deep learning for printed mottle defect grading. Electronic Imaging, 32, 1-9.
Chen, J., Zhang, X., Wu, Y., Ghosh, S., Natarajan, P., Chang, S. F., & Allebach, J. (2022). One-stage object referring with gaze estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5021-5030).
Yan, H., Wang, Z., Xu, Z., Wang, Z., Wu, Z., & Lyu, R. (2024, July). Research on image super-resolution reconstruction mechanism based on convolutional neural network. In Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance Computing (pp. 142-146).
Wu, Z. (2024). Large Language Model Based Semantic Parsing for Intelligent Database Query Engine. Journal of Computer and Communications, 12(10), 1-13.
Zheng Ren, "Balancing role contributions: a novel approach for role-oriented dialogue summarization," Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 1325920 (4 September 2024); https://doi.org/10.1117/12.3039616
Z. Ren, "Enhancing Seq2Seq Models for Role-Oriented Dialogue Summary Generation Through Adaptive Feature Weighting and Dynamic Statistical Conditioninge," 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE), Guangzhou, China, 2024, pp. 497-501, doi: 10.1109/CISCE62493.2024.10653360.
Guangqian Zhou Preventive Measures for Computer Network Security in the Era of Big Data [J]. Information and Computers (Theoretical Edition), 2019, 31 (24): 189-190193
Lifan Zheng, Gang Li Related factors and prevention strategies affecting computer network security technology [J]. China New Communications, 2019, 21 (9): 135
Qing Xie The influencing factors and prevention strategies of computer network security technology [J]. Network Security Technology and Application, 2021 (2): 161-163
Li Zhang Research on Computer Network Security Issues and Countermeasures Based on Internet of Things Technology [J]. Information and Computer (Theoretical Edition), 2020, 32 (13): 203-204
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134-147.
Tiwari, P. C., Pal, R., Chaudhary, M. J., & Nath, R. (2023). Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges. Drug Development Research, 84(8), 1652-1663.
Khalifa, M., & Albadawy, M. (2024). Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions. Computer Methods and Programs in Biomedicine Update, 100148