AR Sensor Data Vault Isolation for Privacy-Safe Rendering
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Solution Overview
Problem
Existing augmented reality (AR) systems lack robust security and privacy measures, particularly in handling raw data from cameras and microphones, leading to potential data breaches and privacy vulnerabilities.
Innovation Solution
Implementing a secure data vault system within the operating system (OS) that isolates raw data from user applications, processes it using local AI models, and ensures secure data handling through a sandbox environment and policy enforcement, minimizing attack vectors and maintaining user control over their data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If raw data from cameras and microphones is made accessible to user applications, then AR functionality and ease of operation are improved, but security and privacy are worsened due to potential data breaches
Solution Approach 1:
The patent introduces a secure data vault as an intermediary component between the camera/microphone sensors and user applications. This data vault acts as a mediator that receives raw data from sensors, processes it through local AI models, and provides processed data to applications while maintaining isolation and security boundaries, thus enabling AR functionality without direct exposure of raw data to applications.
Solution Approach 2:
The system segments the data processing pipeline into distinct isolated components: sensor data collection, secure data vault processing, and application consumption. By segmenting the architecture and isolating the raw data handling within the secure data vault, the patent enables AR features while preventing direct access to raw data by applications, thereby reducing data breach risks.
2Object-affected harmful factors
If raw data is processed locally to enhance privacy, then data security is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The secure data vault implements self-service processing by autonomously handling raw data through integrated local AI models without requiring external server intervention. The system performs self-contained processing, encryption, and data management operations within the isolated vault environment, enhancing privacy while minimizing the complexity burden on the main device architecture.
Solution Approach 2:
The patent merges multiple functions including data collection, local AI processing, encryption, and security isolation into a single integrated secure data vault component. By combining these functions in one unified module rather than separate components, the system achieves enhanced privacy protection while managing device complexity through functional consolidation.
3Object-affected harmful factors
If data is isolated from applications to prevent breaches, then security is improved, but adaptability and data accessibility are worsened
Solution Approach 1:
The secure data vault implements feedback mechanisms that monitor data access patterns, usage requirements, and security policies. This feedback loop enables the system to dynamically adjust data sharing decisions, providing adapted access to processed data while maintaining isolation of raw data, thus preventing breaches while preserving necessary adaptability for legitimate applications.
Solution Approach 2:
The system changes data parameters and states through processing transformations within the secure data vault. Raw data is transformed into processed data with modified characteristics, allowing the vault to maintain isolation while providing adapted access to applications through the processed output, thus balancing security with adaptability.
Data Source
AI summary
An augmented reality (AR) system includes a display, a camera; and a secure data vault system. The secure data vault system includes a sandbox system operatively coupled to the camera and configured to receive camera data from the camera, wherein in operations of the AR system, the camera only sends camera data to the sandbox system, and wherein the sandbox system comprises an execution environment configured to restrict execution of instructions to a predefined memory address range. The secure data vault system additionally includes a display and rending system operatively coupled to the sandbox system and configured to render an image based on the camera data processed via the instructions and to display the image via the display, wherein the display is configured to show both the image and a real-world environment surrounding the AR system.