Account transaction clustering method and system thereof

Abstract

The invention relates to an account security technology, and discloses an account transaction clustering method and system thereof. The method comprises the steps that a characteristic factor, which represents an account transaction characteristic, of each account in to-be-clustered transaction is extracted, wherein the characteristic factor comprises a first class of characteristic factor which represents the independent information of each account and a second class of characteristic factor which represents association information of accounts; for the first class of characteristic factor and the second class of characteristic factor, a measurement scale independent of each characteristic factor is used to carry out normalization; after normalization, Euclidean distance is used to calculate the similarity of clustering centers of various types of transactions; and according to the similarity, account transaction clustering is carried out. For the first class of characteristic factor and the second class of characteristic factor, the independent measurement scale is used to carry out normalization, and then the similarity is calculated for clustering. The problem of different characteristic factor variable dimensions is overcome. Small characteristic factors are prevented from being exaggerated.

Description

technical field

[0001] The invention relates to account security technology, in particular to a clustering method and system for account transactions. Background technique

[0002] In Internet third-party payment, there are many risk problems, especially the cases of card theft and account theft. These two types of theft have brought great challenges to the security experience of customers and the risky operation of payment institutions.

[0003] Most of the existing technical methods and solutions effectively identify and analyze various stolen cards and stolen accounts, and most of them do not consider the risk of fraudulent compensation by the stolen in the actual stolen transaction. That is to say, when some stolen persons with insufficient integrity request recovery of the stolen losses, most of the actual stolen transactions include some normal transactions of the stolen persons themselves, which is often ignored by Internet payment institutions. For example, among th...

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