Information Security Processing Technology Based on Computer Big Data
DOI:
https://doi.org/10.53469/jtpms.2025.05(5).07Keywords:
Computer, Big data, Information security, Processing technology, Application AnalysisAbstract
In the current digital age, the application of computer big data has penetrated into various fields, providing huge business opportunities and growth opportunities for enterprises and organizations.However, with the rapid growth of big data, information security issues have become increasingly prominent, and big data contains a large amount of sensitive information, such as personal identity, financial data, etc. Once leaked or maliciously exploited, it will bring huge risks and losses to individuals and organizations.Therefore, in order to effectively protect the security of big data, improve the credibility and integrity of data, it is particularly important to explore information security processing technologies for computer big data.Therefore, this article mainly explores the application of information security processing technology in computer big data, and provides reference for improving the effectiveness of information security processing in computer big data.
References
Guo, Haocheng, Yaqiong Zhang, Lieyang Chen, and Arfat Ahmad Khan. "Research on Vehicle Detection Based on Improved YOLOv8 Network." Applied and Computational Engineering 116 (2025): 161-167.
Jin, Yuhui, Yaqiong Zhang, Zheyuan Xu, Wenqing Zhang, and Jingyu Xu. "Advanced object detection and pose estimation with hybrid task cascade and high-resolution networks." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp. 1293-1297. IEEE, 2024.
Ma, Haowei, et al. "Maternal and cord blood levels of metals and fetal liver function." Environmental Pollution 363 (2024): 125305.
Jiang, Xiaohong, et al. "Tumor Microenvironment Reprogrammed Bimetallic Hybrid Nanostimulator for Triggering Radio‐Cuproptosis‐Immunotherapy." Advanced Healthcare Materials 13.30 (2024): 2401902.
Ma, Haowei, Cheng Xu, and Jing Yang. "Design of Fine Life Cycle Prediction System for Failure of Medical Equipment." Journal of Artificial Intelligence and Technology 3.2 (2023): 39-45.
Lu, Jialang, et al. "DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning." arXiv preprint arXiv:2504.19127 (2025).
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.
Li, Huaxu, et al. "Enhancing Intelligent Recruitment With Generative Pretrained Transformer and Hierarchical Graph Neural Networks: Optimizing Resume-Job Matching With Deep Learning and Graph-Based Modeling." Journal of Organizational and End User Computing (JOEUC) 37.1 (2025): 1-24.
Wang, Meng, et al. "CPLOYO: A pulmonary nodule detection model with multi-scale feature fusion and nonlinear feature learning." Alexandria Engineering Journal 122 (2025): 578-587.
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.
Saunders, E., Zhu, X., Wei, X., Mehta, R., Chew, J., & Wang, Z. (2025). The AI-Driven Smart Supply Chain: Pathways and Challenges to Enhancing Enterprise Operational Efficiency. Journal of Theory and Practice in Economics and Management, 2(2), 63–74. https://doi.org/10.5281/zenodo.15280568
