Research on Mainstream DataBase Security Analysis Technology of Big Data Platform
Kangkang Dou, Yong Wang, Qixuan Yang, Yaxin Han, Yang Zhao · 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) · 2021
With the rapid development of the Internet and information technology, big data, characterized by large amount, high speed and diversity, has become a basic strategic resource and an Important core productivity. The application of database based on big data platform is more and more extensive, and it has gradually become an important foundation for field support and industrial application. Database security is the basic guarantee for the operation and application of big data platform. However, traditional database security is not suitable for new databases under big data platform, and its security has become an urgent problem to be solved. Based on the research and summary of the existing achievements in the security field of mainstream databases under the big data platform, this paper takes the attack behavior as the main research object, and expounds the security analysis technology from the perspective of operating system layer, database layer and distributed file system layer, and points out the future development direction.