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Secure communication architecture for internet of things using smartphones and multi-access edge computing in environment monitoring

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Abstract

Protecting the environment from many threats has become a priority worldwide. The Internet of Things technologies enables the continuous monitoring of various parameters related to environment statuses, such as air quality and many others. In this paper, we propose a security architecture based on cellular networks and Multiple-access Edge Computing to collect sensors’ information in real time. In the proposed architecture, users will interface the Internet of Things devices using their smartphones. The smartphones can interact with the cellular network and the Internet of Things devices at the same time. This unique ability is leveraged to provide strong authentication and confidentiality in accessing the Internet of Things devices. Also in our architecture, we use gateways, as intermediate nodes that can interact with both the smartphones and the sensor nodes. Therefore, our architecture includes a revocation mechanism for captured gateways. We propose an architecture for the Internet of Things devices along with protocols that can be used to establish security.

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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 IT, Mathematics and Statistics, European University of Tirana, Tirana, Albania

    Mimoza Durresi & Anisa Subashi

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

    Arjan Durresi

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli & Kazunori Uchida

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  1. Mimoza Durresi
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Correspondence to Arjan Durresi.

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Durresi, M., Subashi, A., Durresi, A. et al. Secure communication architecture for internet of things using smartphones and multi-access edge computing in environment monitoring. J Ambient Intell Human Comput 10, 1631–1640 (2019). https://doi.org/10.1007/s12652-018-0759-6

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