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Towards provenance-based trust-aware model for socio-technically connected self-adaptive system
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dc.contributor.authorLee, Hyo Cheol-
dc.contributor.authorLee, Seok Won-
dc.date.issued2021-07-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36679-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115835028&origin=inward-
dc.description.abstractIn a socio-technically connected environment, self-adaptive systems need to cooperate with others to collect information to provide context-dependent functionalities to users. A key component of ensuring safe and secure cooperation is finding trustworthy information and its providers. Trust is an emerging quality attribute that represents the level of belief in the cooperative environments and serves as a promising solution in this regard. In this research, we will focus on analyzing trust characteristics and defining trust-aware models through the trust-aware goal model and the provenance model. The trust-aware goal model is designed to represent the trust-related requirements and their relationships. The provenance model is analyzed as trust evidence to be used for the trust evaluation. The proposed approach contributes to build a comprehensive understanding of trust and design a trust-aware self-adaptive system. In order to show the feasibility of the proposed approach, we will conduct a case study with the crowd navigation system for an unmanned vehicle system.-
dc.description.sponsorshipThis research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2020R1F1A1075605).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshContext dependent-
dc.subject.meshCooperative environment-
dc.subject.meshProvenance models-
dc.subject.meshQuality attributes-
dc.subject.meshSelf-adaptive system-
dc.subject.meshTrust evaluation-
dc.subject.meshTrust evidences-
dc.subject.meshUnmanned vehicle systems-
dc.titleTowards provenance-based trust-aware model for socio-technically connected self-adaptive system-
dc.typeConference-
dc.citation.conferenceDate2021.7.12. ~ 2021.7.16.-
dc.citation.conferenceName45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021-
dc.citation.editionProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021-
dc.citation.endPage767-
dc.citation.startPage761-
dc.citation.titleProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021-
dc.identifier.bibliographicCitationProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021, pp.761-767-
dc.identifier.doi10.1109/compsac51774.2021.00108-
dc.identifier.scopusid2-s2.0-85115835028-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9529349-
dc.subject.keywordGoal model-
dc.subject.keywordProvenance model-
dc.subject.keywordRequirements engineering-
dc.subject.keywordSelf-adaptive system-
dc.subject.keywordTrust model-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaSoftware-
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Lee, Seok-Won이석원
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