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COVID-19 Vehicle Based on an Efficient Mutual Authentication Scheme for 5G-Enabled Vehicular Fog Computing

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  • Mahmood A. Al-Shareeda

    (National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, George Town 11800, Penang, Malaysia)

  • Selvakumar Manickam

    (National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, George Town 11800, Penang, Malaysia)

Abstract

The COVID-19 pandemic is currently having disastrous effects on every part of human life everywhere in the world. There have been terrible losses for the entire human race in all nations and areas. It is crucial to take good precautions and prevent COVID-19 because of its high infectiousness and fatality rate. One of the key spreading routes has been identified to be transportation systems. Therefore, improving infection tracking and healthcare monitoring for high-mobility transportation systems is impractical for pandemic control. In order to enhance driving enjoyment and road safety, 5G-enabled vehicular fog computing may gather and interpret pertinent vehicle data, which open the door to non-contact autonomous healthcare monitoring. Due to the urgent need to contain the automotive pandemic, this paper proposes a COVID-19 vehicle based on an efficient mutual authentication scheme for 5G-enabled vehicular fog computing. The proposed scheme consists of two different aspects of the special flag, SF = 0 and SF = 1, denoting normal and COVID-19 vehicles, respectively. The proposed scheme satisfies privacy and security requirements as well as achieves COVID-19 and healthcare solutions. Finally, the performance evaluation section shows that the proposed scheme is more efficient in terms of communication and computation costs as compared to most recent related works.

Suggested Citation

  • Mahmood A. Al-Shareeda & Selvakumar Manickam, 2022. "COVID-19 Vehicle Based on an Efficient Mutual Authentication Scheme for 5G-Enabled Vehicular Fog Computing," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15618-:d:983195
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    References listed on IDEAS

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    1. Sun, Xiaoqian & Wandelt, Sebastian & Zheng, Changhong & Zhang, Anming, 2021. "COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane," Journal of Air Transport Management, Elsevier, vol. 94(C).
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    Cited by:

    1. Zeyad Ghaleb Al-Mekhlafi & Mahmood A. Al-Shareeda & Selvakumar Manickam & Badiea Abdulkarem Mohammed & Amjad Qtaish, 2023. "Lattice-Based Lightweight Quantum Resistant Scheme in 5G-Enabled Vehicular Networks," Mathematics, MDPI, vol. 11(2), pages 1-17, January.
    2. Phon Sheng Hou & Lokman Mohd Fadzil & Selvakumar Manickam & Mahmood A. Al-Shareeda, 2023. "Vector Autoregression Model-Based Forecasting of Reference Evapotranspiration in Malaysia," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

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