A Multi-Message Multi-Receiver Signcryption Scheme with Edge Computing for Secure and Reliable Wireless Internet of Medical Things Communications
Insaf Ullah,
Muhammad Asghar Khan,
Ali Alkhalifah,
Rosdiadee Nordin,
Mohammed H. Alsharif,
Abdulaziz H. Alghtani and
Ayman A. Aly
Additional contact information
Insaf Ullah: Hamdard Institute of Engineering & Technology, Islamabad 44000, Pakistan
Muhammad Asghar Khan: Hamdard Institute of Engineering & Technology, Islamabad 44000, Pakistan
Ali Alkhalifah: Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia
Rosdiadee Nordin: Department of Electrical, Electronic & Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Mohammed H. Alsharif: Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
Abdulaziz H. Alghtani: Department of Mechanical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Ayman A. Aly: Department of Mechanical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Sustainability, 2021, vol. 13, issue 23, 1-13
Abstract:
Thanks to recent advancements in biomedical sensors, wireless networking technologies, and information networks, traditional healthcare methods are evolving into a new healthcare infrastructure known as the Internet of Medical Things (IoMT). It enables patients in remote areas to obtain preventative or proactive healthcare services at a cheaper cost through the ease of time-independent interaction. Despite the many benefits of IoMT, the ubiquitously linked devices offer significant security and privacy concerns for patient data. In the literature, several multi-message and multi-receiver signcryption schemes have been proposed that use traditional public-key cryptography, identity-based cryptography, or certificateless cryptography methods to securely transfer patient health-related data from a variety of biomedical sensors to healthcare professionals. However, certificate management, key escrow, and key distribution are all complications with these methods. Furthermore, in terms of IoMT performance and privacy requirements, they are impractical. This article aims to include edge computing into an IoMT with secure deployment employing a multi-message and multi-receiver signcryption scheme to address these issues. In the proposed method, certificate-based signcryption and hyperelliptic curve cryptography (HECC) have been coupled for excellent performance and security. The cost study confirms that the proposed scheme is better than the existing schemes in terms of computational and communication costs.
Keywords: Internet of Things; hyperelliptic curve; multi-message and multi-receiver signcryption; certificate-based cryptography; edge computing; IoMT; 5G (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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