Google llc (20240338477). Determining Privacy Execution Actions based on Context Data Associated with a User Device simplified abstract
Contents
Determining Privacy Execution Actions based on Context Data Associated with a User Device
Organization Name
Inventor(s)
David Griesbach of Pacifica CA (US)
Determining Privacy Execution Actions based on Context Data Associated with a User Device - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338477 titled 'Determining Privacy Execution Actions based on Context Data Associated with a User Device
The abstract of the patent application describes a method that involves obtaining context data from a client computing device, using it as input for a personalized privacy model, determining privacy settings, and executing proactive privacy actions based on those settings.
- Simplified Explanation:
- Method involves collecting data from a client device - Uses data to create personalized privacy settings - Executes proactive privacy actions based on settings
- Key Features and Innovation:
- Personalized privacy model based on context data - Proactive privacy execution actions - Client computing device involvement
- Potential Applications:
- Privacy protection for users - Customized privacy settings - Enhanced data security measures
- Problems Solved:
- Addressing privacy concerns - Improving user control over data - Enhancing data protection measures
- Benefits:
- Increased privacy protection - Customized privacy settings - Improved data security
- Commercial Applications:
- Data security software development - Privacy-focused applications - Compliance with privacy regulations
- Questions about Personalized Privacy Model:
1. How does the method ensure user data is securely handled? - The method uses privacy settings to control data access and execution actions.
2. What types of data can be used to personalize privacy settings? - Context data associated with the client computing device is used to personalize settings.
Original Abstract Submitted
example embodiments of the present disclosure provide for an example method including obtaining context data associated with a client computing device as input into a personalized privacy model. the example method includes determining, by the personalized privacy model, privacy settings as output. the example method includes performing, by the client computing device, a proactive privacy execution action based on the privacy settings.
