Evaluating Holistic Privacy Risk Posed by Smart Home Ecosystem: A Capability-Oriented Model Accommodating Epistemic Uncertainty and Wisdom of Crowds

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dc.authoridMardani, Abbas/0000-0003-1010-3655
dc.authoridChen, Zhen-Song/0000-0003-4360-5459
dc.authorwosidMardani, Abbas/D-5700-2015
dc.authorwosidChen, Zhen-Song/K-3436-2019
dc.contributor.authorChang, Jian-Peng
dc.contributor.authorZheng, Hong-Liang
dc.contributor.authorMardani, Abbas
dc.contributor.authorPedrycz, Witold
dc.contributor.authorChen, Zhen-Song
dc.date.accessioned2024-05-19T14:41:20Z
dc.date.available2024-05-19T14:41:20Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractEvaluating the holistic privacy risk (HPR) presented by a smart home ecosystem (SHE), encompassing both internal and external entities that may be targeted by different adversaries seeking to compromise users' privacy, can enhance the comprehensive understanding of the privacy risk landscape within the SHE. This matter is influenced by the complexity of risk surroundings, the diverse perspectives of users toward privacy, and the lack of historical data. Unfortunately, existing literature falls short in addressing these factors. To fill the gap, this article develops an innovative capability-oriented model that accommodates epistemic uncertainty and wisdom of crowds (WoC), designed to assist smart home device manufacturers in accurately assessing HPR posed by their SHEs. The model presents a method for representing subjective judgments that captures epistemic uncertainty and a technique for weighting individual judgments to mitigate overconfidence bias, thus effectively harnessing WoC. In addition, this model features two specialized methods: one for quantifying HPR and another for prioritizing associated single risks, both tailored to operate effectively within uncertain context. These innovative methods are versatile and can be applied to various risk assessment scenarios, especially where historical data are not available. The practicality and effectiveness of our model are demonstrated through a detailed case study.en_US
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1109/TEM.2024.3351703
dc.identifier.endpage5390en_US
dc.identifier.issn0018-9391
dc.identifier.issn1558-0040
dc.identifier.scopus2-s2.0-85182360165en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage5372en_US
dc.identifier.urihttps://doi.org10.1109/TEM.2024.3351703
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5095
dc.identifier.volume71en_US
dc.identifier.wosWOS:001168043300004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Engineering Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectEpistemic Uncertaintyen_US
dc.subjectHolistic Privacy Risk (Hpr) Assessmenten_US
dc.subjectSmart Home Ecosystem (She)en_US
dc.subjectWisdom Of Crowds (Woc)en_US
dc.titleEvaluating Holistic Privacy Risk Posed by Smart Home Ecosystem: A Capability-Oriented Model Accommodating Epistemic Uncertainty and Wisdom of Crowdsen_US
dc.typeArticleen_US

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