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A context-aware encryption protocol suite for edge computing-based IoT devices

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Abstract

Heterogeneous devices are connected with each other through wireless links within a cyber physical system. These devices undergo resource constraints such as battery, bandwidth, memory and computing power. Moreover, the massive interconnections of these devices result in network latency and reduced speed. Edge computing offers a solution to this problem in which devices transmit the preprocessed actionable data in a formal way, resulting in reduced data traffic and improved speed. However, to provide the same level of security to each piece of information is not feasible due to limited resources. In addition, not all the data generated by Internet of things devices require a high level of security. Context-awareness principles can be employed to select an optimal algorithm based on device specifications and required information confidentiality level. For context-awareness, it is essential to consider the dynamic requirements of data confidentiality as well as device available resources. This paper presents a context-aware encryption protocol suite that selects optimal encryption algorithm according to device specifications and the level of data confidentiality. The results presented herein clearly exhibit that the devices were able to save 79% memory consumption, 56% battery consumption and 68% execution time by employing the proposed context-aware encryption protocol suite.

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Notes

  1. https://github.com/weidai11/cryptopp/releases/tag/CRYPTOPP_8_0_0.

  2. https://www.cryptopp.com/docs/ref/.

  3. https://tools.ietf.org/html/rfc4919.

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Author information

Authors and Affiliations

  1. COMSATS University Islamabad, Lahore Campus, Islamabad, Pakistan

    Zaineb Dar, Adnan Ahmad & Furkh Zeshan

  2. Saint Louis University, Madrid, Spain

    Adnan Ahmad

  3. Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia

    Farrukh Aslam Khan

  4. American University in the Emirates, Dubai, United Arab Emirates

    Razi Iqbal

  5. Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy

    Hafiz Husnain Raza Sherazi

  6. Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK

    Ali Kashif Bashir

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  1. Zaineb Dar
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  2. Adnan Ahmad
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  3. Farrukh Aslam Khan
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Correspondence to Hafiz Husnain Raza Sherazi.

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Dar, Z., Ahmad, A., Khan, F.A. et al. A context-aware encryption protocol suite for edge computing-based IoT devices. J Supercomput 76, 2548–2567 (2020). https://doi.org/10.1007/s11227-019-03021-2

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