18417666. PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS simplified abstract (Google LLC)
Contents
- 1 PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Network Measurements
- 1.13 Original Abstract Submitted
PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS
Organization Name
Inventor(s)
Gang Wang of Frederick MD (US)
Marcel M. Moti Yung of New York NY (US)
PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18417666 titled 'PREVENTING DATA MANIPULATION USING MULTIPLE AGGREGATION SERVERS
Simplified Explanation
The patent application describes a method for determining network measurements using encrypted data from client devices, which is decrypted through a multi-party computation process and sent to reporting systems.
Key Features and Innovation
- Method involves receiving encrypted impression data and encrypted conversion data from client devices.
- Multi-party computation process decrypts the data for analysis.
- Decrypted data is sent to reporting systems for further processing.
Potential Applications
This technology can be used in various industries such as marketing, advertising, and data analytics to gather and analyze network measurements for decision-making processes.
Problems Solved
- Ensures secure transmission and analysis of sensitive data from client devices.
- Facilitates accurate network measurements through decryption and analysis processes.
Benefits
- Enhanced data security and privacy.
- Improved accuracy in network measurement analysis.
- Streamlined reporting processes for better decision-making.
Commercial Applications
- This technology can be applied in digital marketing agencies, online advertising platforms, and data analytics companies to optimize marketing strategies and improve campaign performance.
Prior Art
Readers can explore prior research on multi-party computation, encrypted data analysis, and network measurement techniques to understand the background of this technology.
Frequently Updated Research
Stay updated on advancements in multi-party computation, data encryption, and network measurement technologies to enhance the efficiency and accuracy of network measurement processes.
Questions about Network Measurements
How does multi-party computation enhance data security in network measurement processes?
Multi-party computation allows for secure data analysis without exposing sensitive information to any single party, ensuring privacy and confidentiality.
What are the potential challenges in implementing encrypted data analysis for network measurements?
Implementing encrypted data analysis may require specialized expertise and resources to ensure the accuracy and efficiency of the decryption process.
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 decrypt the encrypted impression data and the encrypted conversion data. Each portion of decrypted impression data and each portion of decrypted conversion data is sent to a respective reporting system.
