International business machines corporation (20240422183). Detecting Fraudulent User Flows

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Detecting Fraudulent User Flows

Organization Name

international business machines corporation

Inventor(s)

Shimon Benusovich of Rishon Le Zion (IL)

Andrey Finkelshtein of Beer Sheva (IL)

Noga Agmon of Givat Shmuel (IL)

Detecting Fraudulent User Flows

This abstract first appeared for US patent application 20240422183 titled 'Detecting Fraudulent User Flows



Original Abstract Submitted

mechanisms are provided for detecting fraudulent user flows associated with a website. user flow data, representing an interaction by a user with content of a website, is received and converted to a vector representation that represents a time series transition from one portion of website content to another of the website. the vector representation is input to a trained sequential machine learning computer model which generates a classification of the vector representation. a determination as to whether or not the user flow data represents a fraudulent user flow is made based on the classification. an output is generated that indicates whether or not the user flow is a fraudulent user flow based on the detection.

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