Manuscript received December 20, 2024; accepted March 27, 2025; published April 25, 2025.
Abstract—With the rapid development of information technology, network security issues are becoming more and more prominent and have become the focus of global attention. The purpose of this paper is to discuss the design of a network security situational awareness system based on big data technology, which is able to monitor and analyze massive network data in real time in order to predict and identify potential security threats. This paper first introduces the overall framework design of the system, including the data aggregation and storage layer, the big data analysis layer, and the situational awareness and early warning business layer. Subsequently, the functional design of each layer is elaborated in detail, and it is hoped that this paper can provide some reference for the application of big data technology in the field of network security.
Keywords—big data, cybersecurity posture, Hadoop, distributed storage
Cite: Zhou Siwei, "Discussion on Network Security Situational Awareness Technology Based on Big Data,"
International Journal of Engineering and Technology, vol. 17, no. 2, pp. 107-110, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
