An Uncertainly-Aware Approach to Certifying Security Assurance for Autonomous Systems
Abstract
This report details our approach to enhance the trustworthiness of autonomous systems that need to adapt at run time to changes resulting from unexpected conditions, component failures, and enemy attacks. The primary objective of the project is to develop technology to express, codify, and automatically maintain operational system security assurance cases (SACs) for autonomous systems operating under uncertain conditions. Assurance cases have been accepted as a means for certifying the utility and satisfaction of trustworthiness, safety, and mission objectives. SACs will capture the trustworthiness and risk assessment chain of evidence from initial development through system evolution during runtime adaptation in response to environmental and system uncertainty with respect to security threats. The technologies will be demonstrated and evaluated on platforms of different scales using two case studies: 1) adaptive cruise control for autonomous rover and 2) integration of interaction-enabled testbeds to mimic search and rescue robot operation in disastrous situation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 29, 2020
- Accession Number
- AD1102721
Entities
People
- Betty Chung
- Rose Gamble
Organizations
- University of Tulsa