View source for 18361303. GENERATING SEQUENCES OF NETWORK DATA WHILE PREVENTING ACQUISITION OR MANIPULATION OF TIME DATA simplified abstract (GOOGLE LLC)

=GENERATING SEQUENCES OF NETWORK DATA WHILE PREVENTING ACQUISITION OR MANIPULATION OF TIME DATA=


==Organization Name==

[[:Category:GOOGLE LLC|GOOGLE LLC]]


[[Category:GOOGLE LLC]]

==Inventor(s)==

[[:Category:Gang Wang of Jersey City NJ (US)|Gang Wang of Jersey City NJ (US)]][[Category:Gang Wang of Jersey City NJ (US)]]

[[:Category:Marcel M. Moti Yung of New York NY (US)|Marcel M. Moti Yung of New York NY (US)]][[Category:Marcel M. Moti Yung of New York NY (US)]]

==GENERATING SEQUENCES OF NETWORK DATA WHILE PREVENTING ACQUISITION OR MANIPULATION OF TIME DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18361303 titled 'GENERATING SEQUENCES OF NETWORK DATA WHILE PREVENTING ACQUISITION OR MANIPULATION OF TIME DATA

==Simplified Explanation==

The abstract describes a method for determining network measurements using encrypted impression and conversion data from multiple client devices. The method involves two aggregation servers that perform a multi-party computation process to generate chronological sequences of encrypted data and decrypt the encrypted data.

* The method involves receiving encrypted impression data from multiple client devices.
* A second aggregation server receives encrypted conversion data from at least a portion of the client devices.
* The first and second aggregation servers perform a multi-party computation process.
* The process generates chronological sequences of encrypted impression and conversion data.
* The encrypted data is then decrypted by the aggregation servers.

== Potential Applications ==
This technology has potential applications in various fields, including:

* Advertising: The method can be used to analyze the effectiveness of advertising campaigns by tracking impressions and conversions from multiple client devices.
* Market Research: It can be utilized to gather data on consumer behavior and preferences by analyzing encrypted impression and conversion data.
* Network Optimization: The method can help optimize network performance by analyzing network measurements obtained from multiple client devices.

== Problems Solved ==
The method addresses the following problems:

* Privacy Concerns: By using encrypted data, the method ensures the privacy of user information while still allowing for analysis and computation.
* Data Aggregation: The method efficiently aggregates impression and conversion data from multiple client devices, allowing for comprehensive analysis.
* Secure Computation: The multi-party computation process ensures secure and accurate decryption of the encrypted data.

== Benefits ==
The use of this technology offers several benefits:

* Privacy Protection: User data remains encrypted throughout the process, ensuring the privacy and security of sensitive information.
* Comprehensive Analysis: The method allows for the analysis of both impression and conversion data, providing a more complete understanding of user behavior.
* Efficient Data Processing: The multi-party computation process enables efficient decryption and analysis of the encrypted data, saving time and resources.


==Original Abstract Submitted==

Methods, systems, and apparatus, including a method for determining network measurements. In some aspects, a method includes receiving, by a first aggregation server and from each of multiple client devices, encrypted impression data. A second aggregation server receives, from each of at least a portion of the multiple client devices, encrypted conversion data. The first aggregation server and the second aggregation server perform a multi-party computation process to generate chronological sequences of encrypted impression data and encrypted conversion data and to decrypt the encrypted impression data and the encrypted conversion data.



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