Autonomous Vehicle Data Privacy Management via Trusted Execution Environments

The patent segments data collection and processing into multiple trusted execution environments (TEEs) with distinct security domains. Each TEE handles specific data types (e.g., personal information, location data, payment information) separately, allowing comprehensive data collection for personalization while isolating sensitive data in secure enclaves that enforce strict access controls and privacy policies.

The patent introduces trusted execution environments as intermediary layers between data collection and data processing. These TEEs act as secure mediators that verify data handling operations, enforce privacy policies, and provide cryptographic proof of compliant processing, thereby building trust while enabling comprehensive data utilization for personalized services.

The patent implements preliminary action by establishing data usage policies, access controls, and cryptographic permissions before data is shared with third parties. Trusted execution environments pre-configure security parameters, define permissible operations, and set expiration times for data access, enabling efficient third-party collaboration while maintaining granular control over data usage throughout the service lifecycle.

The patent applies dynamics by making data access controls adaptive and time-dependent. Trusted execution environments dynamically adjust data sharing permissions based on context, user preferences, and policy requirements. Access rights can be modified, revoked, or extended without re-collecting data, allowing flexible control over third-party data usage while maintaining service productivity.