Akamai Technologies, Inc.
Method and apparatus to detect non-human users on computer systems

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Abstract:

Methods and systems for malicious non-human user detection on computing devices are described. The method includes collecting, by a processing device, raw data corresponding to a user action, converting, by the processing device, the raw data to features, wherein the features represent characteristics of a human user or a malicious code acting as if it were the human user, and comparing, by the processing device, at least one of the features against a corresponding portion of a characteristic model to differentiate the human user from the malicious code acting as if it were the human user.

Status:
Grant
Type:

Utility

Filling date:

16 Jun 2020

Issue date:

9 Aug 2022