ForeSight – User-Centered and Personalized Privacy and Security Approach for Smart Living

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Abstract

With the emerging Internet of Things (IoT) techniques in smart home applications, artificial intelligence (AI), and highly interoperable IoT s ystems enable the development of context-sensitive multi-domain services in smart homes [1]. However, while such systems create enormous challenges regarding security and privacy, the IoT practitioners may overlook certain security and privacy concerns such as European Union (EU) General Data Protection Regulation (GDPR). This paper describes the necessities to consider privacy- and security-related challenges for smart living platforms. Core elements of this contribution are a user survey to detect key aspects to fulfill users’ expectations and an in-detail description of a Gaia-X-compatible software technology stack for the smart living domain. The concept will be applied to a smart kitchen use case.

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Bauer, J., Wichert, R., Konrad, C., Hechtel, M., Dengler, S., Uhrmann, S., … Franke, J. (2022). ForeSight – User-Centered and Personalized Privacy and Security Approach for Smart Living. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13326 LNCS, pp. 18–36). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-05431-0_2

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