Document Type
Honors Thesis
Abstract
Autonomous ground vehicles are an emerging technology brought on by the advancement of computer vision and artificial intelligence. Autonomous vehicles have applications in many areas including military, industrial and commercial. Cybersecurity is a critical requirement for autonomous systems with respect to the interests of safety and reliability. To investigate methods for securing autonomous systems, the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) was applied to the development of the AutoMav autonomous ground vehicle. AutoMav was constructed to participate in the 27th Annual Intelligent Ground Vehicle Competition at Oakland University in Rochester, Michigan. A threat model was constructed against an example use case scenario, known as a threat concept. The threat model was then used during the design of the vehicle’s control system to develop security features and avoid major vulnerabilities.
Publication Date
5-1-2019
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Smith, Warren, "IMPLEMENTING CYBERSECURITY FRAMEWORK FOR AUTONOMOUS GROUND VEHICLE" (2019). 2019 Spring Honors Capstone Projects. 25.
https://mavmatrix.uta.edu/honors_spring2019/25