Vehicle Data Filtering Engine for Granular Privacy Access
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Solution Overview
Problem
Existing systems lack effective control over access to vehicle-associated information, often exposing too much or too little data, compromising privacy and security, and fail to provide granular access management based on entity permissions.
Innovation Solution
A vehicle-associated information filtering engine that uses access control rule information to determine and enforce permissions for entities, both internal and external, by controlling the sampling rate and availability of data based on criteria such as motion status, identity, location, and time, and can be located within the vehicle or externally, such as in a roadside unit or remote server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all vehicle-associated information is provided to entities, then complete data access is achieved, but privacy and security are compromised
Solution Approach 1:
The patent segments vehicle-associated information into different categories (e.g., location data, biometric data, operational data) and applies different access control rules to each category. This allows selective disclosure of information based on entity permissions, achieving both complete necessary access and privacy protection simultaneously.
Solution Approach 2:
The patent implements local quality by applying different access control policies to different entities based on their specific permissions and requirements. Each entity receives only the specific portions of information they are authorized to access, rather than a uniform all-or-nothing approach, thus balancing data availability with privacy protection.
2Object-affected harmful factors
If access control rules are implemented, then privacy and security are improved, but data access granularity becomes too restrictive
Solution Approach 1:
The patent implements dynamic access control where the filtering engine can adjust the level of information disclosure based on real-time conditions, entity identity, and specific permissions. This dynamic approach allows the system to be restrictive when necessary for security while remaining accessible when appropriate, avoiding overly restrictive static controls.
Solution Approach 2:
The filtering engine continuously evaluates access requests against stored access control rules and adjusts information disclosure accordingly. This feedback mechanism ensures that privacy protection is maintained while allowing legitimate access requests to succeed, preventing unnecessary restrictions on data accessibility.
3Object-affected harmful factors
If granular access control is implemented, then privacy protection is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces a filtering engine as an intermediary component that handles the complexity of granular access control. This intermediary sits between data sources and entities, managing the sophisticated access control logic centrally rather than distributing complexity throughout the system, thus enhancing privacy protection while containing system complexity in a manageable component.
Solution Approach 2:
The filtering engine serves multiple functions: it filters information based on access control rules, manages different entity permissions, and adapts to various data types and access scenarios. This multi-functionality consolidates what would otherwise require multiple separate systems into a single component, reducing overall system complexity while maintaining granular access control capabilities.
Data Source
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AI summary
In some examples, a system receives vehicle-associated information from a data source associated with a vehicle, and restricts access to the vehicle-associated information based on at least one privacy criterion selected from among a machine learning use criterion relating to use of the vehicle-associated information by a machine learning model, a vehicle motion criterion relating to a movement status of the vehicle, or a person identity criterion relating to an identity of a person in the vehicle.