UAS Trusted Autonomy Framework for Secure Data Sharing
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Solution Overview
Problem
Current technologies lack a standardized framework for sharing ancillary data among unmanned aerial systems (UAS) to ensure error-free operations, particularly in commercial contexts, and there is no mechanism to verify the identity or permissions of users and vehicles, leading to inefficiencies and regulatory compliance challenges.
Innovation Solution
A trusted autonomy framework that verifies the identity and security infrastructure of entities, validates data, and establishes secure data sharing agreements between trusted parties, using a clearinghouse to manage and authenticate data communication, ensuring compliance with regulations and minimizing the need for multiple data agreements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If secure data sharing framework is implemented for UAS entities, then data security and regulatory compliance are improved, but system complexity and verification overhead increase
Solution Approach 1:
The patent introduces a clearinghouse as an intermediary entity that manages verification and data sharing agreements between UAS operators. The clearinghouse maintains entity verification status and facilitates secure data exchange, thereby improving data security without requiring each entity to implement complex verification mechanisms independently.
Solution Approach 2:
The framework establishes universal verification standards and data sharing agreements that can be applied across multiple UAS entities and operations. By creating a standardized, multi-functional verification system, the patent reduces the need for separate verification mechanisms for each entity, thereby managing system complexity while maintaining high security standards.
2Reliability
If identity verification and security infrastructure validation are performed for all entities, then trust and compliance are improved, but processing time and operational overhead increase
Solution Approach 1:
The patent implements preliminary verification where entities are verified and registered with the clearinghouse before participating in data sharing. This advance verification establishes trust credentials upfront, allowing for faster data exchange operations later without repeated verification delays.
Solution Approach 2:
The clearinghouse maintains feedback loops that track entity verification status and compliance records. This continuous feedback mechanism allows the system to quickly assess trustworthiness of entities based on their verification history, reducing processing time for subsequent data sharing decisions while maintaining high trust standards.
3Reliability
If multiple data sharing agreements are required for different entities, then data security is improved, but the number of agreements and administrative burden increase
Solution Approach 1:
The patent merges multiple individual data sharing agreements into a unified framework managed by the clearinghouse. By consolidating verification standards and data sharing terms into a single universal agreement structure, the system maintains data security across different entities without requiring separate agreements for each party, thereby reducing administrative burden.
Data Source
AI summary
Disclosed herein are embodiments for providing a trusted autonomy framework for unmanned aerial systems. One embodiment of a method includes receiving a request from an entity to participate in secure data sharing within the trusted autonomy framework for unmanned aerial systems, receiving a type of data that will be shared via the entity, and verifying an identity of the entity, a security infrastructure of the entity, and validating the data to be shared. In some embodiments, in response to verifying, accepting the entity into the trusted autonomy framework for unmanned aerial systems.