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dc.contributor.advisorGu, Qijun
dc.contributor.authorLanguell, Zachary P. ( )
dc.date.accessioned2019-05-01T19:49:42Z
dc.date.available2019-05-01T19:49:42Z
dc.date.issued2019-04-11
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8000
dc.description.abstractThe Automatic Dependent Surveillance-Broadcast (ADS-B) protocol is being adopted for use in unmanned aerial vehicles (UAVs) as the primary source of information for emerging multi-UAV collision avoidance algorithms. The lack of security features in ADS-B leaves any processes dependent upon the information vulnerable to a variety of threats from compromised and dishonest UAVs. This could result in substantial losses or damage to properties. This research proposes a new distance-bounding scheme for verifying the distance and flight trajectory in the ADS-B packets from surrounding UAVs. The proposed scheme enables UAVs or ground stations to identify dishonest UAVs and avoid collisions. The scheme was implemented and tested in the SITL (Software In The Loop) simulator to verify its ability to detect dishonest UAVs. The experiments showed that the scheme achieved the desired accuracy in both flight trajectory measurement and attack detection.
dc.formatText
dc.format.extent64 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectADSB
dc.subjectUAV
dc.subjectDistance-bounding
dc.subjectSecurity
dc.subjectCollision avoidance
dc.subjectWireless communication
dc.subjectAviation
dc.subjectDrone
dc.subjectNextGen
dc.subjectAircraft
dc.subjectSurveillance
dc.subject.lcshAutomatic dependent surveillance--broadcast (Air traffic control)
dc.subject.lcshDrone aircraft
dc.titleSecuring the ADS-B Protocol for Attack-resilient Multiple UAV Collision Avoidance
txstate.documenttypeThesis
dc.contributor.committeeMemberChen, Xiao
dc.contributor.committeeMemberGuirguis, Mina
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
txstate.departmentComputer Science


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