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Mutual authentication framework using fog computing in healthcare

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Abstract

The development of the medical services framework is advanced by the development of the Internet of Things (IoT) innovation. There are many hindrances in the current healthcare framework, for example, security and privacy concerns, information irregularity, opportune admittance to the correct records across numerous medical services. Notwithstanding, there is an assortment of options available for the collection of medical data. Since the health data are exceptionally private, it requires proper vigilance and ingress for people dealing with them. So, one such solution; to secure data is the authentication of the communicating entities. Authentication is used to secure the information transferred over the public channels. There are many protocols proposed; however, the conventional authentication models cannot be applied straightforwardly to situations requiring low-latency in specific. Moreover, they are inefficient for two reasons: first, they are unable to adapt to the extending volume of generated data, and second, they are vulnerable to cyber-attacks. Hence, in this paper, we try to give a feasible solution as a “Mutual Authentication framework using Fog Computing in Healthcare” that is fully resilient and addresses the aforementioned concerns. The framework uses elliptic curve cryptography, aptly suitable for low constrained devices, to secure patients’ data during communication with primacy. In addition to this, fog computing minimizes network latency, and cost, which efficiently manages the medical resources and altogether fulfills the high-security norms guaranteeing data confidentiality. Furthermore, a review of the most relevant techniques has been discussed. Finally, a comparison of these approaches, along with the security investigation, is made, and subsequently, the model’s feasibility, stability, and security are evaluated.

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Acknowledgements

This work was supported and funded by the Ministry of Education, Government of India.

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  1. IIITA: Indian Institute of Information Technology Allahabad, Devghat, Jhalwa, Prayagraj, 211015, India

    Sunakshi Singh & Vijay Kumar Chaurasiya

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  1. Sunakshi Singh
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  2. Vijay Kumar Chaurasiya
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Correspondence to Sunakshi Singh.

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Singh, S., Chaurasiya, V.K. Mutual authentication framework using fog computing in healthcare. Multimed Tools Appl 81, 31977–32003 (2022). https://doi.org/10.1007/s11042-022-12131-8

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  • DOI: https://doi.org/10.1007/s11042-022-12131-8

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