Application of Artificial Intelligence Technology in Cyber Security Defense
DOI:
https://doi.org/10.53469/wjimt.2025.08(05).06Keywords:
Artificial Intelligence, Cyberspace, Network Security DefenseAbstract
The development of the internet has brought unprecedented convenience, but due to its open nature, the use of the internet also faces both internal and external network security challenges. Strengthening cybersecurity defense capabilities and effectively safeguarding network security during the digital transformation in the internet age is a significant challenge. The development of artificial intelligence technology has driven the emergence of new types of network cybersecurity defense techniques. Leveraging artificial intelligence, network cybersecurity defense is shifting from traditional passive security response to active security defense. This paper primarily explores the application of artificial intelligence technology in network cybersecurity defense.
References
Xie, X., Luo, Y., Peng, H., & Ding, C. RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs. In The Thirteenth International Conference on Learning Representations.
Lin, L., Li, N., & Zhao, S. (2025). The effect of intelligent monitoring of physical exercise on executive function in children with ADHD. Alexandria Engineering Journal, 122, 355-363.
Peng, Y., Zhang, G., & Pang, H. (2025). Impact of Short-Duration Aerobic Exercise Intensity on Executive Function and Sleep. arXiv preprint arXiv:2503.09077.
Luo, H., Wei, J., Zhao, S., Liang, A., Xu, Z., & Jiang, R. (2024). Intelligent logistics management robot path planning algorithm integrating transformer and gcn network. IECE Transactions on Internet of Things, 2(4), 95-112.
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.
Xu, J., Wang, Y., Chen, H., & Shen, Z. (2025). Adversarial Machine Learning in Cybersecurity: Attacks and Defenses. International Journal of Management Science Research, 8(2), 26-33.
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.
Weng, Y., Fan, Y., Wu, X., Wu, S., & Xu, J. (2024, November). A Multi-Layer Alignment and Adaptive Weighting Framework for Multi-Task Model Fusion. In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC) (pp. 327-330). IEEE.
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.
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. "Recent Technologies in Differential Privacy for NLP Applications." 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024.
Wu, Yingyi, et al. "A Survey on Origin-Destination Flow Prediction." 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024.
Fang, Jingxing, et al. "A Comparative Study of Sequential Deep Learning Models in Financial Time Series Forecasting." 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024.
Yu, Chenyang, et al. "A Social Value Orientation-Based Priority Swapping Algorithm for Efficient Autonomous Intersection Management." 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.