- author = "Kate Highnam and Kevin Angstadt and Kevin Leach and Westley Weimer and Aaron Paulos and Patrick Hurley",
- title = "An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture",
- booktitle = "2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W)",
- year = "2016",
- editor = "Domenico Cotroneo and Cristina Nita-Rotaru)",
- pages = "222--225",
- address = "Toulouse, France",
- month = "28 " # jun # "-1 " # jul,
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR",
- isbn13 = "978-1-5090-3688-2",
-
URL = "
https://web.eecs.umich.edu/~angstadt/papers/dsn16-industrial.pdf",
-
DOI = "
doi:10.1109/DSN-W.2016.63",
- size = "4 pages",
- abstract = "With the growing ubiquity of uncrewed aerial vehicles (UAVs), mitigating emergent threats in such systems has become increasingly important. In this short paper, we discuss an indicative class of UAVs and a potential attack scenario in which a benign UAV completing a mission can be compromised by a malicious attacker with an antenna and a commodity computer with open-source ground station software. We attest to the relevance of such a scenario for both enterprise and defense applications. We describe a system architecture for resiliency and trustworthiness in the face of these attacks. Our system is based on the quantitative assessment of trust from domain-specific telemetry data and the application of program repair techniques to UAV flight plans. We conclude with a discussion of restoring trust in post-repair UAV mission integrity.",
-
notes = "GenProg,
Slides: https://web.eecs.umich.edu/~weimerw/p/DSN16-Industrial%20Attack%20and%20Arch.pdf
https://dsn-2016.sciencesconf.org/ INSPEC Accession Number: 16355400 also known as \cite{7575381}",
