Design And Implementation Of Internet Financial False User Information Detection System Based On User Information Graph

With the development of the Internet and its penetration into the financial sector,Internet finance has flourished in our country.In recent years,China's P2 P industry has grown rapidly,and has spawned multiple trading methods and transaction structures.At present,the development of China's Internet finance industry is still at the stage of exploration.There are still existing gaps in the laws and regulations,financial supervision measures and risk control measures.Malicious fraud has become the main risk of Internet finance.In this paper,the concept of knowledge graph is used to construct user information graph then design a false user information detection system which uses relational networks to analyze the relationship between users,detects the phenomenon of forged user information,and effectively prevents Internet financial fraud.First,necessary user information is collected from the information disclosed on the network by using the web crawler,then the data what is the collected data in CSV format is processed and saved.Due to the system uses the user information graph to analyze the data,Neo4 j graph database is used to store data,and design data saving module,which supports the system to store the data in the Neo4 j graph database for permanent preservation.Second,a user information graph is built by using the open source Gephi tool.Defining the rules for building user information graph,the collected data is built user information graph based on the rules.The false information detection system can display user information graph by Gephi's visualization function,and at the same time for what user easily observes the relationships between graph nodes and the system displays false information detection results,user information graph can cluster nodes in the graph based on attributes by attribute-based graph layout algorithm.Then,false information detection is based on the user information map.The characteristics of the relationship between users who are fraudster can be further analyzed by combining the characteristics of counterfeiting user information fraud in internet finance and a risk warning module is designed to detect whether these relationship features exist in the user information graph and identify possible risks.In order to detect specified information,the graph data query function which is designed by using indexing technology can achieve efficient detection of specific information.Finally,a complete system is created and every functional module is tested.The results show that each function can achieve the desired effect.