Traditional security data platforms have problems such as single data organization

difficult data management

and difficult to adapt to complex application scenarios and so on. How to manage data sources well

clarify the relationship between data sources

and effectively use the value of data has become an urgent need in the security field. This paper designs a method for constructing a security data middle platform based on a knowledge graph. We use the knowledge graph’s powerful capabilities in entity description

semantic processing

and interconnected organization to organize security data in a form close to human thinking

integrate the data middle platform to break security industry’s inherent data barriers among multi-business systems

and fuse the characteristics of multi-source heterogeneous data generated by various business systems. This method has restructured and optimized the architecture of traditional security big data platform

as well as achieving the efficient management of the entire life cycle from data collection

data management

data analysis

and data application

effectively improving the capabilities of intelligent security.