Financial anti-fraud analysis method based on big data

Abstract

The invention discloses a financial anti-fraud analysis method based on big data, and the method comprises the following steps of collecting the related data generated by a buyer and a seller using amobile device, and preliminarily judging the identities of the buyer and the seller. According to the financial anti-fraud analysis method based on big data, firstly, the personnel information of twotransaction parties is verified in the whole process, so that the information accuracy in the transaction process is ensured, the relation network and the characteristic attributes among the data areanalyzed, and the risk can be deeply mined and analyzed; secondly, the personnel of two transaction parties can most intuitively know the current overall safety condition of the financial product; andby introducing the query event history to analyze the event analysis, the accuracy of financial anti-fraud analysis is improved, and the safety degree of funds of two transaction parties is improved;Finally, the unique voice, fingerprints, faces and pupils are adopted as the basis for identifying user identities, the uniqueness is realized, the situation of copying does not exist, the safety ofthe user identities is improved, and a better use prospect is brought.

Description

technical field [0001] The invention relates to the financial field, in particular to a big data-based financial anti-fraud analysis method. Background technique [0002] Risks are always growing crazily along with the continuous expansion of the scale of consumer finance. The unlimited nature of cyberspace has led many fraudulent gangs to use various methods and means such as credential stuffing, forged information, account theft, intermediary agency, cash out, etc. to target consumers or Attacks on the consumer credit platform caused the platform to collapse and consumers lost a lot of property. In order to reduce the losses between individuals and the platform, in order to reduce these losses, people invented some financial anti-fraud methods; [0003] The existing financial anti-fraud methods usually deal with the fraud and recover funds, etc., but they cannot prevent financial fraud, which is a waste of time. Secondly, the existing financial anti-fraud methods usually o...

AI Technical Summary

Problems solved by technology

[0002] Risks are always growing crazily along with the continuous expansion of the scale of consumer finance. The unlimited nature of cyberspace has led many fraudulent gangs to use various methods and means such as credential stuffing, forged information, account theft, intermediary agency, cash out, etc. to target consumers or Attacks on the consumer credit platform caused the platform to collapse and consumers lost a lot of property. In order to reduce the losses between individuals and the platform, in order to reduce these losses, people invented some financial anti-fraud methods;

[0003] The existing financial anti-fraud methods usually deal with the fraud and recover funds, etc., but they cannot prevent financial fraud, which is a waste of time. Secondly, the existing financial anti-fraud methods usually only simply verify the login Whether it is a normal and credit-worthy user at the time, without getting closer to the transaction, the identity of the double reverse transaction is unclear, and subsequent financial fraud is likely to occur, which will lose the interests of both parties and fail to meet people's use requirements. Therefore, we propose a financial anti-fraud analysis method based on big data

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