Paypal, Inc.

Fei Pei

Yuzhen Zhuo

Quan Jin Ferdinand Tang

Hewen Wang

Zhe Chen

Jiyi Zhang

Mandar Ganaba Gaonkar

Omkumar Mahalingam

Solomon Kok How Teo

Panpan Qi

Methods and systems are presented for bot detection. A movement of a pointing device is tracked via a graphical user interface (GUI) of an application executable at a user device. Movement data associated with different locations of the pointing device within the GUI is obtained. The movement data is mapped to functional areas corresponding to a range of the different locations of the pointing device within the GUI over consecutive time intervals. At least one vector representing a sequence of movements for at least one trajectory of the pointing device through one or more of the functional areas and a duration the pointing device stays within each functional area is generated. At least one trained machine learning model is used to determine whether the sequence of movements of the pointing device was produced through human interaction with the pointing device by an actual user of the user device.

Two-sided machine learning framework for pointer movement-based bot detection

Growing community of inventors

San Jose, CA, United States of America

Fei Pei