Based on the background of the widespread application of big data technology, the information security of computer networks presents new trends and becomes increasingly complex. The surge in data volume, multi-source heterogeneous data structures and the characteristics of real-time transmission have caused great challenges to traditional security models. Based on the impact of the big data environment on network security, this paper systematically analyzes the security vulnerabilities and evolutionary characteristics of typical attack methods in the current network architecture, and introduces security event big data to carry out clustering and behavior analysis, and then constructs a threat assessment architecture that can realize dynamic identification. From the perspective of protection mechanism, it proposes the use of intrusion detection technology integrated with artificial intelligence, a network situation awareness model based on data-driven thinking, and the application planning of blockchain technology in data traceability and trusted anti-tampering. The research results fully demonstrate that the intelligent, real-time and traceable capabilities of network security systems can be effectively enhanced in a multi-technology collaborative manner. This study provides theoretical support and practical reference for the construction of network information security systems under the background of big data.

Jiayi Sun. Research on Computer Network Information Security and Protection under the Background of Big Data. International Journal of Big Data Intelligent Technology (2025), Vol. 6, Issue 2: 1-10. https://doi.org/10.38007/IJBDIT.2025.060201.

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