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Multi-access edge computing aided mobility for privacy protection in Internet of Things

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Abstract

Communications among IoT devices and backend servers are among the most critical aspects of IoT system, as it not only governs hardware requirement and system performance but also impacts security and privacy of the system. Multi-access edge computing (MEC) is an enabler for service development in 5G. Furthermore, MEC will reduce IoT system communication cost such as latency and bandwidth thanks to its ubiquitously nearby processing and storage capability. Also, MEC will provide opportunities to enhance IoT system’s network privacy, which cannot be solved by IoT system itself easily. In this paper, we present MEC enhanced mobility support system for IoT system: with MEC it can be implemented with low operation cost and overhead and can protect IoT system’s user from being exploited due to the exposed network location of data uploading and the control signals.

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Acknowledgements

This work is partially supported by National Science Foundation under Grant No. 1547411, and by National Institute of Food and Agriculture (NIFA) USDA AWARD NUMBER: 2017-67003-26057.

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Authors and Affiliations

  1. Department of Computer and Information Science, Indiana University Purdue University Indianapolis, Indianapolis, USA

    Ping Zhang & Arjan Durresi

  2. Department of IT, Mathematics and Statistics, European University of Tirana, Tirana, Albania

    Mimoza Durresi

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  1. Ping Zhang
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  2. Mimoza Durresi
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  3. Arjan Durresi
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Correspondence to Arjan Durresi.

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Zhang, P., Durresi, M. & Durresi, A. Multi-access edge computing aided mobility for privacy protection in Internet of Things. Computing 101, 729–742 (2019). https://doi.org/10.1007/s00607-018-0639-0

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  • DOI: https://doi.org/10.1007/s00607-018-0639-0

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