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Internet of things-based secure architecture to automate industry

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Abstract

The internet of things (IoT) represents a transformable breakthrough in the domain of intelligent devices, enabling essential functions such as data collection, management, and efficient storage. It has the potential to drive significant progress in various aspects of daily life, particularly within industrial environments where it can facilitate real-time product monitoring, information management, and status evaluation. Securing the authentication, authorization, and confidentiality of data within interconnected industrial IoT networks is of paramount importance. This study presents a secure lightweight IoT architecture that incorporates wireless sensor networks (WSN). Performance evaluation involves comparing the conventional security solutions with the proposed approach. The results demonstrate a 3% reduction in CPU cycles, 9% less execution time, a 3% decrease in memory capacity requirements, and a 9% improvement in security effectiveness. Additionally, the proposed model achieved enhanced cryptanalysis accuracy, registering at 97.34%.

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Data availibility

The data used to support the findings of this study are available from the corresponding author upon request.

Notes

  1. Source https://www.statista.com/statistics/1101442/iot-number-of-connected-devices-worldwide

  2. Source https://iot-analytics.com/state-of-the-iot-2020-12-billion-iot-connections-surpassing-non-iot-for-the-first-time/

  3. Source https://developer.samsung.com/codelab/smartthings/device-sdk.html

  4. Source https://www.iotsecurityfoundation.org/reporting-front-row-from-the-iot-security-foundation-launch/

  5. Source https://github.com/mbaddeley/contikipy

  6. Source https://www.cryptopp.com/wiki/SPECK

  7. Source https://www.cryptopp.com/wiki/SIMON

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Acknowledgements

This study was conducted at Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia. The authors would like to thank and appreciate the University management for creating a great learning environment for the faculty and researchers.

Funding

The authors extend their appreciation to Prince Sattam bin Abdulaziz University for funding this research work through project number PSAU-2023/01/23595.

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Authors and Affiliations

  1. College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Abdullah Aljumah

  2. Department of Management Information Systems, CoBA, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

    Tariq Ahamed Ahanger

  3. School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, 2006, Australia

    Imdad Ullah

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  1. Abdullah Aljumah
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  2. Tariq Ahamed Ahanger
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  3. Imdad Ullah
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All the authors have contributed equally to prepare this manuscript.

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Correspondence to Tariq Ahamed Ahanger.

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Aljumah, A., Ahanger, T.A. & Ullah, I. Internet of things-based secure architecture to automate industry. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04499-z

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