Secure AR Data Vault With Sandboxed Camera Processing
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Solution Overview
Problem
Existing augmented reality (AR) systems lack robust security and privacy measures to protect user data, particularly raw data captured by cameras and microphones, which are vulnerable to malicious attacks and unintended data exposure.
Innovation Solution
A secure data vault system within the operating system isolates raw data from user applications, processes it using local AI models, and applies privacy-preserving techniques to ensure secure data handling and minimize attack vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If raw data from cameras and microphones is made accessible to user applications for AR processing, then AR functionality and user experience are improved, but security vulnerabilities and privacy risks increase
Solution Approach 1:
The system segments data processing into two distinct environments: a secure data vault for raw data processing and a sandboxed application environment for AR rendering. This segmentation allows raw data to remain isolated in the secure vault while only processed results are passed to applications, thus maintaining AR functionality while eliminating security vulnerabilities associated with direct data access.
Solution Approach 2:
A secure data vault acts as an intermediary between the camera/microphone data sources and user applications. The vault processes raw data through AI models and privacy-preserving techniques, then provides sanitized output to applications. This intermediary structure enables AR functionality while blocking direct access to vulnerable raw data.
2Reliability
If raw data is processed locally using AI models, then privacy protection is improved, but device complexity increases
Solution Approach 1:
The secure data vault is nested within the operating system, which itself is nested within the device architecture. This nested structure allows the vault to access raw data at the system level for local AI processing while maintaining privacy protection, without requiring separate external processing systems that would increase overall device complexity.
3Reliability
If secure data vault isolation is implemented, then attack vectors are minimized, but data access efficiency decreases
Solution Approach 1:
The secure data vault performs preliminary processing of raw data through AI models and privacy-preserving techniques before applications need the data. By pre-processing and sanitizing data in advance within the isolated vault, the system minimizes attack vectors while maintaining efficient data access, as applications receive ready-to-use processed data without needing to break security isolation.
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.