Research on Virtual and Identity Identity, Correlation and Analysis Technology of Internet-related Economic Crimes Based on Big Data

Abstract In recent years, social activities on the Internet have been frequent, and people have carried out network social activities by registering different IDs on various platforms, which has formed a new identity - Internet virtual identity. A large number of virtual identity exchanges form a social network relationship diagram, but the network virtual identity does not require real-name authentication, which increases the security maintenance and supervision of the network. Therefore, the investigation of network-related economic crimes under big data faces new challenges. In response to this situation, a combination of virtual and real identity, association and analysis techniques based on big data is proposed. Firstly, through the integration and processing of heterogeneous data, the data resources integration under the condition of decentralized data source and multi-database data source is realized. Secondly, the verification and analysis platform of Internet information is built by Solr which is an open source framework. Finally, using full-text search technology to achieve target search and virtual identity association analysis under big data.