Apple inc. (20240323742). Crowd Sourced Privacy Preserving Access Point Mapping simplified abstract
Contents
Crowd Sourced Privacy Preserving Access Point Mapping
Organization Name
Inventor(s)
Rachid Kachemir of Mountain View CA (US)
Krishna M. Behara of Santa Clara CA (US)
Ashok Kumar Harikumar of Santa Clara CA (US)
Christopher R. Purcell of Dublin CA (US)
Welly Kasten of San Jose CA (US)
Crowd Sourced Privacy Preserving Access Point Mapping - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240323742 titled 'Crowd Sourced Privacy Preserving Access Point Mapping
Simplified Explanation: The patent application describes a system that can map access points and network topologies using data reports from user devices without revealing their exact locations or identities.
Key Features and Innovation:
- Crowd-sourced access point mapping
- Privacy-preserving techniques
- Generating network topologies and quality scores
- Serving generated data to user devices for improved interactions
Potential Applications: This technology can be used in various industries such as telecommunications, networking, and location-based services.
Problems Solved: The system addresses the challenge of mapping access points and network relationships without compromising user privacy.
Benefits:
- Enhanced network efficiency
- Improved user-device interactions
- Privacy protection for user data
Commercial Applications: Potential commercial applications include network optimization services, location-based advertising, and targeted marketing based on network data analysis.
Prior Art: Prior art related to this technology may include research on crowd-sourced data mapping, privacy-preserving techniques in network analysis, and network optimization algorithms.
Frequently Updated Research: Researchers may be exploring advancements in privacy-preserving techniques, network mapping algorithms, and user-device interaction optimization in the context of access point mapping.
Questions about Access Point Mapping: 1. How does this system ensure user privacy while collecting access point data? 2. What are the potential security implications of serving generated data to user devices?
Question 1: How does this system ensure user privacy while collecting access point data?
Answer 1: The system uses privacy-preserving techniques to collect access point data without identifying user devices or their exact locations, thus safeguarding user privacy.
Question 2: What are the potential security implications of serving generated data to user devices?
Answer 2: Serving generated data to user devices could pose security risks if not properly encrypted and authenticated, potentially exposing network vulnerabilities to malicious actors.
Original Abstract Submitted
in some implementations, a computing system can perform crowd sourced access point mapping using privacy preserving techniques. for example, a server device can receive access point data reports from multiple user devices that includes various attributes and/or measurements with respect to access points with which the user devices have established connections. the access point data reports can be delivered without identifying the user devices, or users thereof, and their exact locations. based on the access point data reports, the server device can map locations of access points and relationships between access points to generate network topologies, network locations, network quality scores, and various other characteristics of networks and/or access points. the generated access point data can be served to user devices so that the user devices can improve the efficiency of the interactions between user devices and the detected access points and/or networks.
