Process Mining for Trust Monitoring

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dc.contributor.authorLópez, Jorge
dc.contributor.authorMaag, Stephane
dc.contributor.authorSaint-Pierre Cortés, Cecilia
dc.contributor.authorBustos, Javier
dc.contributor.authorCavalli, Ana
dc.date.accessioned2022-05-17T15:57:18Z
dc.date.available2022-05-17T15:57:18Z
dc.date.issued2015
dc.description.abstractCommunicating systems are today composed of a huge number of distributed processes interoperate with diverse kinds of applications, services and actors. It therefore becomes crucial to monitor and manage these trustworthy interactions. For that purpose, passive testing techniques have been used particularly for checking the system conformance w.r.t. Its standard. Among these studies, trust behaviors have been monitored in such systems. However, while several approaches have been designed, most of them monitor trust properties that have been manually designed or provided by common database. In this paper, we propose a novel approach to automatically generate trust properties from the study and analysis of the system through process mining techniques and by comparing with the formal specification of the system under test.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/WAINA.2015.71
dc.identifier.isbn978-1479917754
dc.identifier.urihttps://doi.org/10.1109/WAINA.2015.71
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7096244
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64057
dc.information.autorucEscuela de ingeniería ; Saint-Pierre Cortés, Cecilia ; S/I ; 224680
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Advanced Information Networking and Applications Workshops (29° : 2015 : Gwangju, Corea del Sur)
dc.rightsacceso restringido
dc.subjectMonitoring
dc.subjectProtocols
dc.subjectAnalytical models
dc.subjectServers
dc.subjectTesting
dc.subjectAlgorithm design and analysis
dc.subjectPrototypes
dc.titleProcess Mining for Trust Monitoringes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados224680
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