17928646. SECURE ATTRIBUTION USING ATTESTATION TOKENS simplified abstract (Google LLC)

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SECURE ATTRIBUTION USING ATTESTATION TOKENS

Organization Name

Google LLC

Inventor(s)

Gang Wang of Mountain View CA (US)

Marcel M. Moti Yung of Mountain View CA (US)

Alex Daniel Jacobson of Mountain View CA (US)

SECURE ATTRIBUTION USING ATTESTATION TOKENS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17928646 titled 'SECURE ATTRIBUTION USING ATTESTATION TOKENS

Simplified Explanation

The patent application describes methods, systems, and apparatus for securely attributing a content platform while maintaining user data privacy. It involves receiving requests for digital components from applications on client devices, transmitting responses with data for digital components, and receiving display notifications indicating the display of these components.

  • The method involves receiving requests for digital components from applications on client devices.
  • The content platform transmits responses with data for digital components related to different applications.
  • Display notifications are received indicating the display of digital components via the applications.

Key Features and Innovation

  • Securely attributing a content platform while maintaining user data privacy.
  • Receiving requests for digital components from applications executing on client devices.
  • Transmitting responses with data for digital components related to different applications.
  • Receiving display notifications indicating the display of digital components via the applications.

Potential Applications

The technology can be applied in various content platforms, digital advertising, and online services where user data privacy is a concern.

Problems Solved

This technology addresses the need for secure attribution of content platforms while ensuring user data privacy in digital environments.

Benefits

  • Enhanced security and privacy for content platforms.
  • Improved user trust and confidence in digital services.
  • Efficient attribution of digital components to different applications.

Commercial Applications

Potential commercial applications include digital advertising platforms, content management systems, and online services that prioritize user data privacy and security.

Prior Art

Readers can explore prior art related to secure attribution of content platforms, user data privacy in digital environments, and digital component display notifications.

Frequently Updated Research

Stay updated on research related to secure content attribution, user data privacy, and digital component display notifications for the latest advancements in the field.

Questions about Secure Content Attribution

How does this technology impact user data privacy in digital environments?

This technology enhances user data privacy by securely attributing content platforms and ensuring the confidentiality of user information.

What are the potential implications of this technology for digital advertising platforms?

This technology can improve the security and trustworthiness of digital advertising platforms by securely attributing content and maintaining user data privacy.


Original Abstract Submitted

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for securely attributing a content platform while maintain user data privacy are described. In one aspect, a method includes receiving, by a content platform and from a first application executing on a client device, a request for digital components. The request includes a first anonymous token that includes a set of content. The content platform transmits, to the first application, a response including data for a digital component that includes content related to a second application and a hash value of the first anonymous token. The content platform receives, from the first application, a display notification indicating the display of the digital component via the application, the display notification including a second anonymous token and the hash value of the first anonymous token.