Date of Award

1-1-2016

Document Type

Dissertation

Degree Name

Ph.D.

Department

Computer Science and Engineering

First Advisor

Anneliese A. Andrews

Keywords

Autonomous Vehicles, CEFSM, Mitigation Patterns, Model Based Test, Security Testing

Abstract

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.

Provenance

Recieved from ProQuest

Rights holder

Seana Lisa Hagerman

File size

198 p.

File format

application/pdf

Language

en

Discipline

Computer science

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