MULTI-LEVEL PROTECTION TO PREVENT ATTACK TESTING
Abstract:
In systems and methods for multiple level bot detection in e-commerce platforms during flash sale events conducted by merchants having accounts with e-commerce platform, a computer applies a first bot detection algorithm to web traffic of a webpage hosting the online store that is conducting the online sales event. The computer determines whether an actor device is executing a bot to make purchases based on a first bot detection algorithm. When the computer identifies a type of triggering instruction, such as a predetermined time period, a user instruction, or a data condition, the computer then applies a second bot detection algorithm to the web traffic. The bot detection algorithms determine signal scores for the customer devices that originated the web traffic. If the signal scores for a customer device satisfy a detection threshold, the server determines the device is operated by a bot actor, rather than a human actor.
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