Application Exploration of Virtual Network Technology in Computer Network Security
Keywords:
Computer, Network Security, Virtual Network Technology, Application ExplorationAbstract
To safeguard the security of computer network information systems and effectively address network information risks, such as Trojan viruses and hacker intrusions, it is crucial to actively employ advanced technologies. This article takes virtual network technology as its subject of study and provides a brief overview of virtual network technology and the significance of computer network security. It delves into its applications in computer network security from four aspects: technology types, application scope, real-world impact, and effective measures. The aim is to reinforce the stability of computer networks and protect user information security, providing valuable insights for relevant individuals.
References
Xu, Y., & Lin, Y. (2024, November). Exploring the Influence of User-Perceived Value on NEV-Enterprises Using an Empirical Computer Model. In 3rd International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2024) (pp. 4-10). Atlantis Press.
Xu, Y., Shan, X., Guo, M., Gao, W., & Lin, Y. S. (2024). Design and application of experience management tools from the perspective of customer perceived value: A study on the electric vehicle market. World Electric Vehicle Journal, 15(8), 378.
Shan, X., Xu, Y., Wang, Y., Lin, Y. S., & Bao, Y. (2024, June). Cross-Cultural Implications of Large Language Models: An Extended Comparative Analysis. In International Conference on Human-Computer Interaction (pp. 106-118). Cham: Springer Nature Switzerland.
Shen, Z., Wang, Y., Hu, K., Wang, Z., & Lin, S. (2025). Exploration of Clinical Application of AI System Incorporating LSTM Algorithm for Management of Anesthetic Dose in Cancer Surgery. Journal of Theory and Practice in Clinical Sciences, 2, 17-28.
Shen, Z., Wang, Z., Chew, J., Hu, K., & Wang, Y. (2025). Artificial Intelligence Empowering Robo-Advisors: A Data-Driven Wealth Management Model Analysis. International Journal of Management Science Research, 8(3), 1-12.
Chew, J., Shen, Z., Hu, K., Wang, Y., & Wang, Z. (2025). Artificial Intelligence Optimizes the Accounting Data Integration and Financial Risk Assessment Model of the E-commerce Platform. International Journal of Management Science Research, 8(2), 7-17.
Wang, Y., Shen, Z., Hu, K., Yang, J., & Li, C. (2025). AI End-to-End Autonomous Driving.
Liu, S., Zhao, Z., He, W., Wang, J., Peng, J., & Ma, H. (2025). Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection. arXiv preprint arXiv:2502.09001.
Guo, X., Cai, W., Cheng, Y., Chen, J., & Wang, L. (2025). A Hybrid Ensemble Method with Focal Loss for Improved Forecasting Accuracy on Imbalanced Datasets.
Dai, Yonghui, et al. "Research on image of enterprise after-sales service based on text sentiment analysis." International Journal of Computational Science and Engineering 22.2-3 (2020): 346-354.
Huang, Xinyi, et al. "Improving Academic Skills Assessment with NLP and Ensemble Learning." 2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2024.
Xing, Jinming, et al. "Network Traffic Forecasting via Fuzzy Spatial-Temporal Fusion Graph Neural Networks." 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024.
Wu, Yingyi, et al. "Can LLaMA 3 Understand Monetary Policy?." 2024 17th International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2024.
Yu, Chenyang, et al. "Crime Prediction Using Spatial-Temporal Synchronous Graph Convolutional Networks." 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024.
Gao, Min, et al. "Leveraging Large Language Models: Enhancing Retrieval-Augmented Generation with ScaNN and Gemma for Superior AI Response." 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA). IEEE, 2024.
Xi, Kai, et al. "Enhancing Problem-Solving Abilities with Reinforcement Learning-Augmented Large Language Models." 2024 4th International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI). IEEE, 2024.
K. Wang, "Efficient Financial Fraud Detection: An Empirical Study using Ensemble Learning and Logistic Regression," 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS), Shenyang, China, 2024, pp. 859-864, doi: 10.1109/ICPICS62053.2024.10796380.
Peng, Qucheng, Ce Zheng, and Chen Chen. "A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2240-2249. 2024.
Y Liu, X Peng, J Cao, S Bo, Y Shen, X Zhang, et al., "Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding", arxiv e-prints, Oct. 2024.
Liu, Yanming, et al. "Tool-Planner: Task Planning with Clusters across Multiple Tools." arXiv preprint arXiv:2406.03807 (2024).
