Risk Perceptions about Personal Internet-of-Things: Research Directions from a Multi-Panel Delphi Study

Autor/inn/en	Di Gangi, Paul M.; Wech, Barbara A.; Hamrick, Jennifer D.; Worrell, James L.; Goh, Samuel H.
Titel	Risk Perceptions about Personal Internet-of-Things: Research Directions from a Multi-Panel Delphi Study
Quelle	In: Journal of Cybersecurity Education, Research and Practice, 2022 (2023) 2, Artikel 5 (20 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Risk Assessment; Consumer Economics; Computer Security; Information Security; Delphi Technique; Data Collection + Suchen Sie Ihr Suchwort? Risikoabschätzung; Konsumökonomie; Computervirus; Computersicherheit; Delphi-Methode; Data capture; Datensammlung
Abstract	Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We conduct a sequential, mixed-methods study using multi-panel Delphi and thematic analysis techniques to understand consumer risk perceptions. The results identify four themes focused on data exposure and user experiences within IoT devices. Our thematic analysis also identified several emerging risks associated with the evolution of IoT device functionality and its potential positioning as a resource for malicious actors to conduct security attacks. (As Provided).
Anmerkungen	Kennesaw State University. 1000 Chastain Road, Kennesaw, Georgia 30144. Tel: 470-578-3568; e-mail: cybersec@kennesaw.edu; Web site: https://digitalcommons.kennesaw.edu/jcerp/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01