Big Data Analysis of National Security based on Network Traffic Metadata

In the rapid development of network technology, scholars from various countries have put forward a number of research topics for the data security in the background of network traffic raw data. They not only clearly recognize the importance of national security big data analysis, but also master rich data resources from it, and build and promote the network traffic metadata diversion platform. From the perspective of the development of modern society, by studying the network traffic meta data diversion platform, designing metadata management model, creating a big data service platform, accurately identifying active data information, detecting and analyzing network attacks and abnormal traffic, we can finally use metadata to achieve standardized data management and truly achieve the expected data service demand. Therefore, on the basis of understanding the network traffic raw data and the research status of national security big data analysis, this paper detects and analyzes the main structure and application effect of the system according to the network security big data platform construction system under the network traffic metadata, so as to realize the basic requirements of data sharing and security management.