The 41st Parameter, Inc.

The 41st Paramter, Inc.

Raz Yalov

Ori Eisen

Ernest Mugambi

David Britton

Steve Pandich

Systems and methods for determining uniqueness of device identifiers are provided. The uniqueness of a device identifier may be indicated by a device quality score or grade that is calculated based on a plurality of parameters associated with a device identifier as well as evaluation rules derived based on historical data. The plurality of parameters may be associated with a network event or transaction associated with the device identifier. The evaluation rules may be derived using machine learning techniques. Based on uniqueness of a device identifier, a suitable action or measure may be taken.

System and method for device identification and uniqueness

The invention provides methods and apparatus for securing personalized or sensitive information appearing in digital images. Digital images containing information to be secured is processed and divided into a plurality of image cells. At least one image cell from the plurality of image cells is selected and redacted or altered to render the information to be secured with the selected image cells in decipherable. The invention also provide method and apparatus for transmitting or streaming unredacted image cells alone or in combination with redacted image cell for secured viewing on a user browser or computer.

Methods and apparatus for securely displaying digital images

Systems and methods are provided for persistent cross-application mobile device identification. A mobile device may have a plurality of sandboxes in memory containing applications. The mobile device may have a shared storage which may accessible by applications from different sandboxes. A storage location identifier may be used to access information in shared storage. A universal device identifier may be stored in the shared storage to identify the mobile device and may be accessible by multiple applications and updates to applications. The universal device identifier may be used to track the mobile device for advertising, fraud detection, reputation tracking, or other purposes.

Methods and systems for persistent cross-application mobile device identification

Systems and methods for determining uniqueness of device identifiers are provided are provided. The uniqueness of a device identifier may be indicated by a device quality score or grade that is calculated based on a plurality of parameters associated with a device identifier as well as evaluation rules derived based on historical data. The plurality of parameters may be associated with a network event or transaction associated with the device identifier. The evaluation rules may be derived using machine learning techniques. Based on uniqueness of a device identifier, a suitable action or measure may be taken.

The invention provides methods and apparatus for securing personalized or sensitive information appearing in digital images. Digital images containing information to be secured is processed and divided into a plurality of image cells. At least one image cell from the plurality of image cells is selected and redacted or altered to render the information to be secured with the selected image cells indecipherable. The invention also provides methods and apparatus for transmitting or streaming unredacted image cells alone or in combination with redacted image cells for secured viewing on a user browser or computer.

Methods and systems for persistent cross application mobile device identification

The invention provides systems and methods for risk assessment using a variable risk engine. A method for risk assessment may comprise setting an amount of real-time risk analysis for an online transaction, performing the amount of real-time risk analysis based on the set amount, and performing an amount of time-delayed risk analysis. In some embodiments, the amount of real-time risk analysis may depend on a predetermined period of time for completion of the real-time risk analysis. In other embodiments, the amount of real-time risk analysis may depend on selected tests to be completed during the real-time risk analysis.

Variable risk engine

Systems and methods are provided for persistent cross-application mobile device identification. A mobile device may have a plurality of sandboxes in memory containing applications. The mobile device may have a shared storage which may be accessible by applications from different sandboxes. A storage location identifier may be used to access information in shared storage. A universal device identifier may be stored in the shared storage to identify the mobile device and may be accessible by multiple applications and updates to applications. The universal device identifier may be used to track the mobile device for advertising, fraud detection, reputation tracking, or other purposes.

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Scottsdale, AZ, United States of America

Raz Yalov