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Securing IoT Applications with Smart Objects: Framework and a Socially Assistive Robots Case Study

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Abstract

The expanded deployment of smart objects in IoT applications is pushing existing IoT platform architectures and their security functionalities to their limits. Indeed, smart objects exhibit semi-autonomous behaviours, are not centrally controlled all the time and therefore need more dynamic approaches in protecting them against vulnerabilities and security incidents. In this paper, we introduce a novel framework for securing the latest generation of IoT applications that involve smart objects, while illustrating its application in securing an Ambient Assisted Living (AAL) system that comprises socially assistive robots. The framework’s innovative aspects lie in the use of predictive analytics for anticipating the behaviour of smart objects, including abnormalities in their security behaviour. The importance of anticipating such abnormalities is validated, demonstrated and discussed in the context of the AAL application.

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Acknowledgements

This work has been carried out in the scope of the H2020 SecureIoT project, which is funded by the European Commission in the scope of its H2020 programme (Contract Number 779899). The authors acknowledge valuable help and contributions from all partners of the project.

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Authors and Affiliations

  1. Athens Information Technology, Athens, Greece

    John Soldatos

  2. Innovation Sprint Sprl, Brussels, Belgium

    Sofoklis Kyriazakos

  3. LuxAI S.A Luxembourg, Luxembourg City, Luxembourg

    Pouyan Ziafati

  4. BTECH, Aarhus BSS, Aarhus University, Herning, Denmark

    Sofoklis Kyriazakos & Albena Mihovska

Authors
  1. John Soldatos
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  2. Sofoklis Kyriazakos
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  3. Pouyan Ziafati
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  4. Albena Mihovska
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Correspondence to John Soldatos.

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Soldatos, J., Kyriazakos, S., Ziafati, P. et al. Securing IoT Applications with Smart Objects: Framework and a Socially Assistive Robots Case Study. Wireless Pers Commun 117, 261–280 (2021). https://doi.org/10.1007/s11277-020-07039-1

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  • DOI: https://doi.org/10.1007/s11277-020-07039-1

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