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Segmentation and Filtering Are Still the Gold Standard for Privacy in IoT—An In-Depth STRIDE and LINDDUN Analysis of Smart Homes

Author

Listed:
  • Henrich C. Pöhls

    (Chair of IT-Security, University of Passau, 94032 Passau, Germany
    These authors contributed equally to this work.)

  • Fabian Kügler

    (Chair of IT-Security, University of Passau, 94032 Passau, Germany
    These authors contributed equally to this work.)

  • Emiliia Geloczi

    (Chair of Computer Engineering, University of Passau, 94032 Passau, Germany
    These authors contributed equally to this work.)

  • Felix Klement

    (Chair of Computer Engineering, University of Passau, 94032 Passau, Germany
    These authors contributed equally to this work.)

Abstract

Every year, more and more electronic devices are used in households, which certainly leads to an increase in the total number of communications between devices. During communication, a huge amount of information is transmitted, which can be critical or even malicious. To avoid the transmission of unnecessary information, a filtering mechanism can be applied. Filtering is a long-standing method used by network engineers to segregate and thus block unwanted traffic from reaching certain devices. In this work, we show how to apply this to the Internet of Things (IoT) Smart Home domain as it introduces numerous networked devices into our daily lives. To analyse the positive influence of filtering on security and privacy, we offer the results from our in-depth STRIDE and LINDDUN analysis of several Smart Home scenarios before and after the application. To show that filtering can be applied to other IoT domains, we offer a brief glimpse into the domain of smart cars.

Suggested Citation

  • Henrich C. Pöhls & Fabian Kügler & Emiliia Geloczi & Felix Klement, 2025. "Segmentation and Filtering Are Still the Gold Standard for Privacy in IoT—An In-Depth STRIDE and LINDDUN Analysis of Smart Homes," Future Internet, MDPI, vol. 17(2), pages 1-61, February.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:2:p:77-:d:1587431
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