Application of Network Database Security Technology Based on Big Data Technology

Abstract

A network database system is an information warehouse in an open environment. Once data is lost, damaged, illegally altered or compromised, it will cause great losses. Nowadays, the research on the security mechanism of network databases is continuously deepening, and the security management of network databases has become one of the hotspots of research by experts and scholars. The purpose of this article is to study network database security technology based on big data technology. This article first summarizes the basic theory of big data, and then extends the core technology of big data. Combined with the current research status of network database security, big data technology is used to study its network database security. This article systematically elaborates the database design and security strategy analysis, and designs and implements the database security model system. This article uses comparative analysis and observation methods to study the subject of this article. Experimental research shows that the average detection rate of network database security systems based on big data technology is 0.138 μs, and the average detection rate of traditional quota network database security detection systems is 0.565 μs, which fully reflects the excellent performance of the system studied in this article.