18341353. PREVENTING FRAUD IN AGGREGATED NETWORK MEASUREMENTS simplified abstract (GOOGLE LLC)

From WikiPatents
Jump to navigation Jump to search

PREVENTING FRAUD IN AGGREGATED NETWORK MEASUREMENTS

Organization Name

GOOGLE LLC

Inventor(s)

Gang Wang of Frederick MD (US)

Marcel M. Moti Yung of New York NY (US)

PREVENTING FRAUD IN AGGREGATED NETWORK MEASUREMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18341353 titled 'PREVENTING FRAUD IN AGGREGATED NETWORK MEASUREMENTS

Simplified Explanation

The patent application describes a method for preventing fraud by receiving measurement data from multiple client devices. Each client device uses a threshold encryption scheme to generate a group key and a group member key. When a threshold number of measurement data elements with the same group identifier are received, the network data is decrypted using the group member keys.

  • The method prevents fraud by securely encrypting and decrypting network data.
  • Multiple client devices can contribute to the encryption and decryption process.
  • The threshold encryption scheme ensures that a certain number of measurement data elements are required for decryption, adding an extra layer of security.

Potential Applications

  • This technology can be applied in digital advertising to prevent fraudulent activities such as fake impressions or conversions.
  • It can be used in online transactions to ensure secure communication and prevent data breaches.
  • The method can be implemented in various industries where secure data transmission is crucial, such as healthcare or finance.

Problems Solved

  • Fraud prevention: The method addresses the problem of fraudulent activities by securely encrypting and decrypting network data, ensuring the authenticity of the measurement data.
  • Data security: By using a threshold encryption scheme and group keys, the method provides a secure way to transmit and protect sensitive data.

Benefits

  • Enhanced security: The method offers a more secure way to encrypt and decrypt network data, reducing the risk of fraud and unauthorized access.
  • Improved accuracy: By requiring a threshold number of measurement data elements for decryption, the method ensures that only valid and reliable data is used for analysis.
  • Scalability: The method can be applied to multiple client devices, allowing for a scalable and efficient fraud prevention system.


Original Abstract Submitted

Methods, systems, and apparatus, including a method for preventing fraud. In some aspects, a method includes: receiving, from multiple client devices, a measurement data element that includes a respective group member key and a group identifier for a given conversion as a result of displaying a digital component. Each client device uses a threshold encryption scheme to generate, based at least on network data that includes one or more of impression data or conversion data for the conversion, a group key that defines a secret for encrypting the network data and generate, based on data related to the application, the respective group member key that includes a respective share of the secret. In response to determining that at least the threshold number of measurement data elements having the same group identifier have been received, the network data is decrypted using the group member keys in the received measurement data elements.

Retrieved from "http://wikipatents.org/index.php?title=18341353._PREVENTING_FRAUD_IN_AGGREGATED_NETWORK_MEASUREMENTS_simplified_abstract_(GOOGLE_LLC)&oldid=18159"