Design of Computer Network Security Risk Assessment System Based on Artificial Intelligence Technology
Keywords:
Artificial Intelligence, Computer Network Security, Risk Assessment, Deep LearningAbstract
This study uses the deep - learning model Long Short - Term Memory Network (LSTM) to achieve automatic learning and pattern recognition of complex network behaviors. By constructing a simulation experiment environment, various network security events including DDoS attacks and SQL injections are simulated, and the effectiveness and performance of the system are comprehensively verified.
References
Meng , L. (2023). Research on the Evaluation System of Green Cabling of Cables Based on Neural Network. Innovation & Technology Advances, 1(2), 25–31. https://doi.org/10.61187/ita.v1i2.37
Junxi, Y., Wang, Z., & Chen, C. (2024). GCN-MF: A graph convolutional network based on matrix factorization for recommendation. Innovation & Technology Advances, 2(1), 14–26. https://doi.org/10.61187/ita.v2i1.30
Hu, H., Zhang, J., & Sun, Y. (2024). The Multiscale Deep Neural Networks: Unveiling New Directions in Text Sentiment Analysis. Innovation & Technology Advances, 2(2), 34–45. https://doi.org/10.61187/ita.v2i2.65
Zheng, H., & Jiang, T. (2025). A New Methodology for Chinese Term Extraction from Scientific Publications. Innovation & Technology Advances, 3(2), 19–45. https://doi.org/10.61187/ita.v3i2.222
Zhang, Y., & Shi, R. (2026). Optimal Design of Thermal Insulation Performance of Transport Packaging Box Based on Response Surface Algorithm. Innovation & Technology Advances, 4(1), 17–30. https://doi.org/10.61187/ita.v4i1.253
Zhu, X., Pan, X., & Gao, X. (2026). Motion Control of Flexible-Joint Robotic Arms for Variable-Station Warehouse Sorting Based on Proximal Policy Optimization. Innovation & Technology Advances, 4(1), 1–16. https://doi.org/10.61187/ita.v4i1.296
Shen, Zepeng, et al. "Research on Application of Whale Optimization Algorithm in Financial Payment Fraud Detection." 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID). IEEE, 2025.
Mao, H. (2026). A Clustering-Based Approach to Image Compression Using the K-Means Algorithm. International Journal of Advance in Applied Science Research, 5(3), 26-30.
Jie, Z. (2024). Application of Artificial Intelligence Technology in Industrial Defect Detection. International Journal of Advance in Applied Science Research, 3, 43-48.
Gao, H., Zhao, W., Chen, W., Liu, J., Peng, W., & Zhou, S. (2026). Experimental study and geomechanical modelling of hard and soft rock masses including fault zones. Environmental Earth Sciences, 85(1), 7.
Gao, W. (2026). Intelligent Operations and Public Relations Collaborative Management Model for Corporate Image Enhancement in the Smart Manufacturing Environment. Journal of Computer Technology and Applied Mathematics, 3(1), 28-34.
Zhang, X. (2026, March). A Hybrid LSTM-GARCH Model Integrating Volatility Factors from the US Financial Markets. In Proceedings of the 2026 International Conference on AI Decision-Making and Management (pp. 183-189).
Han, J., Zhong, P. & Sun, L. Dual-scale model collaborative reasoning with multi-feature fusion for robust AI-generated image detection. Multimedia Systems 32, 363 (2026). https://doi.org/10.1007/s00530-026-02425-4
Shen, Z., Lin, S., Wang, Y., Saunders, E., & Dai, Y. (2026, May). Survival Risk Prediction Model for Colorectal Cancer Patients Based on Graph Convolutional Network and TCGA Multi-Omics Data Integration. In 2026 7th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) (pp. 370-373). IEEE.
Q. Tian, D. Zou, Y. Han and X. Li, "A Business Intelligence Innovative Approach to Ad Recall: Cross-Attention Multi-Task Learning for Digital Advertising," 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), Shenzhen, China, 2025, pp. 1249-1253, doi: 10.1109/AINIT65432.2025.11035473.
Song, C., Jiang, K., Hu, R., Tao, W., Diao, S., & Ma, H. (2025). NTM-CLIP: Natural to Medical CLIP with Dual Semantic Missing Contrastive Learning. Available at SSRN 7071238.
Gao, K., Men, L., Zhou, Z., Gao, E., Huang, X., & Zhang, J. (2025, November). Hierarchical Reasoning and LoRa-Enhanced Large Model Framework for Root Cause Analysis in Distributed Systems. In 2025 5th International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) (pp. 132-138). IEEE.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yang Liang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
