Geofence-Based Trip Data Filtering for Privacy Protection
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Solution Overview
Problem
Existing location-based services often disregard user privacy concerns by collecting and processing sensitive location data without adequate protection, leading to potential misuse and compromised user trust.
Innovation Solution
A system that acquires trip data associated with a vehicle, receives user-defined privacy levels, and filters out sensitive location data by creating geofences around significant locations, enabling location-based services while maintaining user privacy through data obfuscation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all trip data is collected for location-based services, then service functionality is improved, but user privacy is compromised
Solution Approach 1:
The patent segments trip data into different types (sensitive vs. non-sensitive) and applies different processing rules to each segment. Geofence data identifying sensitive locations is separated from general trip data, allowing selective filtering to protect privacy while preserving service functionality.
Solution Approach 2:
The patent extracts and removes sensitive location data corresponding to geofenced areas from the trip data before providing it to service providers. This extraction process eliminates privacy-compromising information while retaining useful location-based service capabilities.
2Object-affected harmful factors
If sensitive location data is filtered out, then user privacy is protected, but service accuracy may deteriorate
Solution Approach 1:
The patent applies different quality levels of data processing to different locations. Sensitive locations within geofences receive high-level filtering (privacy protection), while non-sensitive locations maintain full data accuracy, allowing services to operate with precise data where appropriate and protected data where necessary.
Solution Approach 2:
The patent changes the parameter of data completeness by selectively removing only the portions of trip data that fall within geofenced sensitive locations, rather than removing all detailed location data. This maintains service accuracy for non-sensitive areas while protecting privacy in sensitive areas.
Data Source
AI summary
A system and method for enabling location-based services based on geofence data and privacy settings is provided. The system acquires trip data associated with a vehicle and receives a user input that includes a privacy level associated with the trip data. The system further acquires information that includes a set of geofences corresponding to a set of locations in the trip data. Each geofence of the set of geofences is associated with a rank. The system selects one or more geofences from the set of geofences based on the privacy level and determines, from the trip data, location data that corresponds to the selected one or more geofences. The system filters the trip data by removing the determined location data from the trip data and enables a location-based service based on the filtered trip data.