Exploration of Information Security Protection Strategies for Computer Networks in the Era of Big Data
Keywords:
Computer network, Big data environment, Information securityAbstract
Nowadays, the internet has been applied in various fields of society, and its development speed is very fast. Thanks to the convenience of network technology, various industries have received support from computer networks, making information transmission and sharing more efficient and convenient. The network is also closely connected to people's lives. With the rapid development of the Internet, the coverage of the national network continues to improve, and some hidden dangers brought by the network have begun to be concerned. Information security has become the focus of attention. Elaborate on the characteristics of computer network technology, factors affecting computer network information security, measures to strengthen computer network information security protection in the big data environment, and adopt diverse means to achieve computer network information security.
References
Xu, G., Xie, Y., Luo, Y., Yin, Y., Li, Z., & Wei, Z. (2024). Advancing Automated Surveillance: Real-Time Detection of Crown-of-Thorns Starfish via YOLOv5 Deep Learning. Journal of Theory and Practice of Engineering Science, 4(06), 1–10. https://doi.org/10.53469/jtpes.2024.04(06).01
Xie, Y., Li, Z., Yin, Y., Wei, Z., Xu, G., & Luo, Y. (2024). Advancing Legal Citation Text Classification A Conv1D-Based Approach for Multi-Class Classification. Journal of Theory and Practice of Engineering Science, 4(02), 15–22. https://doi.org/10.53469/jtpes.2024.04(02).03
Wu, Z., Chen, J., Tan, L., Gong, H., Zhou, Y., & Shi, G. (2024, September). A lightweight GAN-based image fusion algorithm for visible and infrared images. In 2024 4th International Conference on Computer Science and Blockchain (CCSB) (pp. 466-470). IEEE.
Wang, Z., Yan, H., Wang, Z., Xu, Z., Wu, Z., & Wang, Y. (2024, July). Research on autonomous robots navigation based on reinforcement learning. In 2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC) (pp. 78-81). IEEE.
Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381-396.
Sagiroglu, S., & Sinanc, D. (2013, May). Big data: A review. In 2013 international conference on collaboration technologies and systems (CTS) (pp. 42-47). IEEE.
Ren, Z. (2024). Enhanced YOLOv8 Infrared Image Object Detection Method with SPD Module. Journal of Theory and Practice in Engineering and Technology, 1(2), 1–7. Retrieved from https://woodyinternational.com/index.php/jtpet/article/view/42
Ren, Z. (2024). A Novel Topic Segmentation Approach for Enhanced Dialogue Summarization. World Journal of Innovation and Modern Technology, 7(4), 42-49.
Oussous, A., Benjelloun, F. Z., Lahcen, A. A., & Belfkih, S. (2018). Big Data technologies: A survey. Journal of King Saud University-Computer and Information Sciences, 30(4), 431-448.
Liu, M. (2024). Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models.
Liang, X., & Chen, H. (2019, July). A SDN-Based Hierarchical Authentication Mechanism for IPv6 Address. In 2019 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 225-225). IEEE.
Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3(1), 2053951716631130.
Jimenez-Marquez, J. L., Gonzalez-Carrasco, I., Lopez-Cuadrado, J. L., & Ruiz-Mezcua, B. (2019). Towards a big data framework for analyzing social media content. International Journal of Information Management, 44, 1-12.
Hayes, J. (2015). Multimedia big data: Content analysis and retrieval. Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications, 37-51.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information systems, 47, 98-115.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International journal of information management, 35(2), 137-144.
Fan, Y., Hu, Z., Fu, L., Cheng, Y., Wang, L., & Wang, Y. (2024). Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning. arXiv preprint arXiv:2412.01062.
Chen, Y., Yao, R., Hassanieh, H., & Mittal, R. (2023). {Channel-Aware} 5g {RAN} slicing with customizable schedulers. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23) (pp. 1767-1782).
Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19, 171-209.
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).
Chen, J., Lin, Q., & Allebach, J. P. (2020). Deep learning for printed mottle defect grading. Electronic Imaging, 32, 1-9.
Chen, H., & Bian, J. (2019, February). Streaming media live broadcast system based on MSE. In Journal of Physics: Conference Series (Vol. 1168, No. 3, p. 032071). IOP Publishing.
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information Fusion, 28, 45-59.
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