MACH-T: A Behavior-based Mobile Node Trust Evaluation Algorithm

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dc.contributor.authorThurston, Karen
dc.contributor.authorConte De Leon, Daniel
dc.date.accessioned2022-12-27T19:17:08Z
dc.date.available2022-12-27T19:17:08Z
dc.date.issued2023-01-03
dc.description.abstractResiliency and availability in community and public service networks may be economically enhanced by building new ad hoc networks of private mobile devices and joining these to public service networks at specific trusted points. Resiliency in such ad hoc networks relies on the afforded increased availability but also on security which is in turn built on trust. In this article, we describe MACH-T, a novel behavior-based algorithm for mobile ad hoc network node trust building. MACH-T uses historical mobile node geographic location traces to incrementally calculate node trust values based on the concepts of node capability, commitment, and consistency. We describe experiments and results from evaluating MACH-T using real GPS traces from the Microsoft Research Geolife and University of Rome Tor Vergata Roma Taxi datasets. Our results show that MACH-T builds a reliable trust value and corresponding confidence value based on learned patterns of time spent in qualifying geographic locations.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.625
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.other1513f6b6-8c07-471f-9e90-9a017e077430
dc.identifier.urihttps://hdl.handle.net/10125/103259
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Analytics in Systems Sciences Research and Education
dc.subjectalgorithms
dc.subjectlocation history
dc.subjectnetworks
dc.subjectspatio-temporal data mining
dc.subjecttrust
dc.titleMACH-T: A Behavior-based Mobile Node Trust Evaluation Algorithm
dc.type.dcmitext
prism.startingpage5112

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