Abstract: The embodiments disclose a method for mitigating fraud, including generating input data on a local device of a selected advertisement, transmitting the input data of the local device to the advertiser server with one advertisement being selected, analyzing and comparing current attributes of a source of the input data with known attributes of known sources based on registered profile information of the source to determine if certain behavioral anomalies exists, using comparisons of the current and known attributes to detect a malicious source or a legitimate source based on an analysis and comparison of the current and the known attributes, blocking the selectable advertisement to prevent access to the selectable advertisement on the local device of at least one malicious source and allowing the selectable advertisement to be transmitted to the advertiser server to allow access to the selectable advertisement on the local device of at least one legitimate source.

Abstract: An embodiment of a feedback-based system and methods are disclosed for real-time mitigation of fraud and otherwise invalid traffic in a mobile ad environment. The system of three complementary facets of one embodiment comprises four major sub-systems: prevention, detection, control and reporting, which work in cohesion with one another to achieve the common goal of the system. In the embodiment, deterministic and probabilistic methods are applied across all levels of user engagement (impressions, clicks, installs, post-install events, and conversions) to detect the likely sources of invalid traffic and block them in real time. A distinctive and unifying feature of the embodiment of the system is the feedback loop that connects advanced analytics and machine learning techniques that the detection subsystem employs at all levels of user engagement to the real-time blocking mechanism of the prevention subsystem that operates at the initial levels of user engagements, such as clicks and impressions.

Abstract: An embodiment of a feedback-based system and methods are disclosed for real-time mitigation of fraud and otherwise invalid traffic in a mobile ad environment. The system of three complementary facets of one embodiment comprises four major sub-systems: prevention, detection, control and reporting, which work in cohesion with one another to achieve the common goal of the system. In the embodiment, deterministic and probabilistic methods are applied across all levels of user engagement (impressions, clicks, installs, post-install events, and conversions) to detect the likely sources of invalid traffic and block them in real time. A distinctive and unifying feature of the embodiment of the system is the feedback loop that connects advanced analytics and machine learning techniques that the detection subsystem employs at all levels of user engagement to the real-time blocking mechanism of the prevention subsystem that operates at the initial levels of user engagements, such as clicks and impressions.