R2U2: monitoring and diagnosis of security threats for unmanned aerial systems

dc.contributor.author Moosbrugger, Patrick
dc.contributor.author Rozier, Kristin
dc.contributor.author Schumann, Johann
dc.contributor.author Rozier, Kristin Yvonne
dc.contributor.department Aerospace Engineering
dc.contributor.department Computer Science
dc.contributor.department Electrical and Computer Engineering
dc.date 2019-08-11T23:01:45.000
dc.date.accessioned 2020-06-29T22:45:35Z
dc.date.available 2020-06-29T22:45:35Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.issued 2017-08-01
dc.description.abstract <p>We present R2U2, a novel framework for runtime monitoring of security properties and diagnosing of security threats on-board Unmanned Aerial Systems (UAS). R2U2, implemented in FPGA hardware, is a real-time, Realizable, Responsive, Unobtrusive Unit for runtime system analysis, now including security threat detection. R2U2 is designed to continuously monitor inputs from on-board components such as the GPS, the ground control station, other sensor readings, actuator outputs, and flight software status. By simultaneously monitoring and performing statistical reasoning, attack patterns and post-attack discrepancies in the UAS behavior can be detected. R2U2 uses runtime observer pairs for Linear and Metric Temporal Logics for property monitoring and Bayesian networks for diagnosis of system health during runtime. We discuss the design and implementation that now enables R2U2 to handle security threats and present simulation results of several attack scenarios on the NASA DragonEye UAS.</p>
dc.description.comments <p>This article is published as Moosbrugger, Patrick, Kristin Y. Rozier, and Johann Schumann. "R2U2: monitoring and diagnosis of security threats for unmanned aerial systems." <em>Formal Methods in System Design</em> 51, no. 1 (2017): 31-61. DOI: <a href="http://dx.doi.org/10.1007/s10703-017-0275-x" target="_blank">10.1007/s10703-017-0275-x</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/aere_pubs/146/
dc.identifier.articleid 1147
dc.identifier.contextkey 14713759
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath aere_pubs/146
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1992
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/aere_pubs/146/2017_RozierKristin_R2U2MonitoringDiagnosis.pdf|||Fri Jan 14 20:23:17 UTC 2022
dc.source.uri 10.1007/s10703-017-0275-x
dc.subject.disciplines Multi-Vehicle Systems and Air Traffic Control
dc.subject.disciplines Systems Engineering and Multidisciplinary Design Optimization
dc.subject.keywords Runtime monitoring
dc.subject.keywords Metric temporal logic
dc.subject.keywords Linear temporal logic
dc.subject.keywords Bayesian networks
dc.subject.keywords FPGA
dc.subject.keywords Security
dc.subject.keywords Unmanned aerial systems
dc.subject.keywords GPS spoofing
dc.title R2U2: monitoring and diagnosis of security threats for unmanned aerial systems
dc.type article
dc.type.genre article
dspace.entity.type Publication
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