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

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Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13326))

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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.

Supported by German Federal Ministry for Economic Affairs and Climate Action (ForeSight, Team-X), European Union (Activage (IoT-01-2016 - Large Scale Pilots Programme)), Bavarian State Ministry of Health and Care (Dein Haus 4.0).

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Authors and Affiliations

  1. Institute for Factory Automation and Production Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, Egerlandstraße 7, 91054, Erlangen, Germany

    Jochen Bauer, Christoph Konrad, Michael Hechtel, Simon Dengler & Jörg Franke

  2. SageLiving GmbH, Borngartenstraße 10, 64319, Pfungstadt, Germany

    Reiner Wichert

  3. C&S Computer und Software GmbH, Wolfsgäßchen 1, 86153, Augsburg, Germany

    Simon Dengler & Bruno Ristok

  4. Deggendorf Institute of Technology, Deggendorf, Germany

    Simon Uhrmann & Mouzhi Ge

  5. German Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus, Saarbrücken, Germany

    Peter Poller & Denise Kahl

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  1. Jochen Bauer
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  2. Reiner Wichert
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  3. Christoph Konrad
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Correspondence to Jochen Bauer .

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Editors and Affiliations

  1. Smart Future Initiative, Frankfurt am Main, Germany

    Norbert A. Streitz

  2. Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Bauer, J. et al. (2022). ForeSight – User-Centered and Personalized Privacy and Security Approach for Smart Living. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. HCII 2022. Lecture Notes in Computer Science, vol 13326. Springer, Cham. https://doi.org/10.1007/978-3-031-05431-0_2

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  • DOI: https://doi.org/10.1007/978-3-031-05431-0_2

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-05431-0

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