| 摘要 |
The invention concerns a computer-implemented method, system and computer program for performing said method, for identifying potentially fraudulent entities in relation to electronic entity action based systems, associated with for example at least one client website 450. Said method comprises the following steps: providing information at data least concerning said entity's behaviour over time in relation to said at least one action based system by monitoring at least one entity induced event 120; and determining said at least one behaviour profile using behaviour classification algorithms to analyse said information in order to identify potentially fraudulent entities or in order to detect the interest of said entity. Accordingly, in a unique way, mathematical analysis may be utilized to process data concerning events in relation to electronic entity action based systems, which are recordable. This provides the possibility of indicating fraud during for example the entire sales process in relation to an ecommerce activity, not merely in direct relation to the payment act, as provided with known fraud detection systems and methods. Examples of entity induced events are entity reactions on the website when being involved in the sale, e.g. the entity is clicking and selecting a certain product item in order to purchase it, or is entering entity data for the transaction, or is moving around between different pages on the merchant website, or is reluctant to enter data or to move around between pages. Further, it is no longer necessary to provide accurate transaction details, such as correct credit card number, or personal entity information, which are to be kept confidential and which are to be validated e.g. against databases containing stolen credit card numbers, in order to provide accurate and timely fraud indication. In addition to being applicable to payment on a merchant's website the disclosed method and system is also capable of detecting fraudulent behaviour in relation to mobile telecommunication networks and in credit card payment systems.
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