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Towards Strategies for Secure Data Transfer of IoT Devices with Limited Resources

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Database and Expert Systems Applications - DEXA 2022 Workshops (DEXA 2022)

Abstract

Many Cyber Physical Systems (CPSs) and Internet of Things (IoT) devices are constrained in terms of computation speed, memory, power, area and bandwidth. As they interact with the physical world, various aspects such as safety, security, and privacy should be considered while processing personal data. Systems should continue operating even under harsh conditions and when the network connections (e.g., to the cloud) are lost. If that happens and the storage capacity is limited, sensor data may be overwritten irrevocably. This paper presents preliminary ideas and the planned research methodology to examine and define strategies to secure the data transfer from IoT devices which have limitations to edge devices and the cloud, and to overcome the situation when a device loses its connection, to mitigate data loss.

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References

  1. Alharby, S., Harris, N., Weddell, A., Reeve, J.: The security trade-offs in resource constrained nodes for IoT application. Int. J. Electr. Electron. Commun. Sci. (2018). https://doi.org/10.5281/zenodo.1315561

  2. BBC: Internet: Old TV caused village broadband outages for 18 months. BBC News, September 2020. https://www.bbc.com/news/uk-wales-54239180

  3. Greer, C., Burns, M.J., Wollman, D., Griffor, E.: Cyber-physical systems and Internet of Things. NIST SP-1900-202, March 2019. https://www.nist.gov/publications/cyber-physical-systems-and-internet-things

  4. Jadhav, D., Nikam, S.: Need for resource management in IoT. Int. J. Comput. Appl. 134(16) (2016)

    Google Scholar 

  5. Mijuskovic, A., Chiumento, A., Bemthuis, R., Aldea, A., Havinga, P.: Resource management techniques for cloud/fog and edge computing: an evaluation framework and classification. Sensors 21(5), 1832 (2021)

    Article  Google Scholar 

  6. Mohsin, S.M., Aslam, S., Akber, S.M.A., Iqbal, A., Waheed, A., Ikram, A.: Empowering cloud of things with edge computing: a comparative analysis. In: 2020 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–6. IEEE (2020)

    Google Scholar 

  7. NIST: Framework for Improving Critical Infrastructure Cybersecurity, Version 1.1, April 2018. https://doi.org/10.6028/NIST.CSWP.04162018

  8. Pisani, F., de Oliveira, F.M.C., Gama, E.S., Immich, R., Bittencourt, L.F., Borin, E.: Fog computing on constrained devices: paving the way for the future IoT. Adv. Edge Comput. Massive Parallel Process. Appl. 35, 22–60 (2020)

    Google Scholar 

  9. Reuters: Satellite outage knocks out thousands of Enercon’s wind turbines, February 2022. https://www.reuters.com/business/energy/satellite-outage-knocks-out-control-enercon-wind-turbines-2022-02-28/

  10. Riegler, M., Sametinger, J.: Multi-mode systems for resilient security in industry 4.0. Procedia Comput. Sci. 180, 301–307 (2021). https://doi.org/10.1016/j.procs.2021.01.167, Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)

  11. Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14(2), 131 (2008). https://doi.org/10.1007/s10664-008-9102-8

    Article  Google Scholar 

  12. Sangaiah, A.K., Hosseinabadi, A.A.R., Shareh, M.B., Bozorgi Rad, S.Y., Zolfagharian, A., Chilamkurti, N.: IoT resource allocation and optimization based on heuristic algorithm. Sensors 20(2), 539 (2020)

    Google Scholar 

  13. Winderickx, J., Braeken, A., Singelée, D., Mentens, N.: In-depth energy analysis of security algorithms and protocols for the Internet of Things. J. Cryptogr. Eng. (2021). https://doi.org/10.1007/s13389-021-00274-7

  14. Zahoor, S., Mir, R.N.: Virtualization and IoT resource management: a survey. Int. J. Comput. Netw. Appl. 5(4), 43–51 (2018). https://doi.org/10.22247/ijcna/2018/49435

  15. Zahoor, S., Mir, R.N.: Resource management in pervasive Internet of Things: a survey. J. King Saud Univ. Comput. Inf. Sci. 33(8), 921–935 (2021). https://doi.org/10.1016/j.jksuci.2018.08.014

    Article  Google Scholar 

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Correspondence to Nasser S. Albalawi .

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Albalawi, N.S., Riegler, M., Rozenblit, J.W. (2022). Towards Strategies for Secure Data Transfer of IoT Devices with Limited Resources. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633. Springer, Cham. https://doi.org/10.1007/978-3-031-14343-4_30

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  • DOI: https://doi.org/10.1007/978-3-031-14343-4_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14342-7

  • Online ISBN: 978-3-031-14343-4

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