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A Secure and Efficient Scheme for Mutual Authentication for Integrity of Exchanged Data in IoMT
28th International Computer Conference, Computer Society of Iran, CSICC 2023 ; 2023.
Artículo en Inglés | Scopus | ID: covidwho-2323020
ABSTRACT
The emergence of pandemic diseases like Covid-19 in recent years has made it more important for Internet of Medical Things (IoMT) environments to build contact between patients and doctors in order to control their health state. Patients will be able to send their healthcare data to the cloud server of the medical service provider in remote medical environments through sensors connected to their smart devices, such as watches or smartphones. However, patients' worries surrounding their data privacy protection are still present. In order to ensure the security and privacy of patients' healthcare data in remote medical environments, a number of different schemes have been proposed by researchers. However, these schemes have not been able to take all security requirements into account. Consequently, in this study, we have proposed a secure and effective protocol to safeguard the privacy of patients' medical data when it is sent to the server. This protocol entails two components mutual authentication of the patient and the server of the medical service provider, as well as the integrity of the exchanged data. Also, our scheme satisfies security requirements and is resistant to well-known attacks. Following this, we used the Scyther tool to formally analyze our proposed scheme. The results showed that the scheme is secure, and in the section on performance analysis, we demonstrated that the proposed scheme performs better than comparable schemes. © 2023 IEEE.
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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: 28th International Computer Conference, Computer Society of Iran, CSICC 2023 Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: 28th International Computer Conference, Computer Society of Iran, CSICC 2023 Año: 2023 Tipo del documento: Artículo