Date of Award
Computer Science and Engineering
Anneliese A. Andrews, Ph.D.
Autonomous Vehicles, CEFSM, Mitigation Patterns, Model Based Test, Security Testing
The purpose of this dissertation is to introduce a novel approach to generate a security test suite to mitigate malicious attacks on an autonomous system. Our method uses model based testing (MBT) methods to model system behavior, attacks and mitigations as independent threads in an execution stream. The threads intersect at a rendezvous or attack point. We build a security test suite from a behavioral model, an attack type and a mitigation model using communicating extended finite state machine (CEFSM) models. We also define an applicability matrix to determine which attacks are possible with which states. Our method then builds a comprehensive test suite using edge-node coverage that allows for systematic testing of an autonomous vehicle.
Hagerman, Seana Lisa, "Model Based Security Testing for Autonomous Vehicles" (2016). Electronic Theses and Dissertations. 1215.
Received from ProQuest
Seana Lisa Hagerman