A Secure Framework for Authentication and Encryption Using Improved ECC for IoT-Based Medical Sensor Data

Mohammad Ayoub Khan,Mohammad Tabrez Quasim,Norah Saleh Alghamdi,Mohammad Yahiya Khan

doi:10.1109/access.2020.2980739

Mohammad Ayoub Khan, Mohammad Tabrez Quasim + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.2980739

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Abstract

Mobile users are increasing exponentially to adopt ubiquitous services offered by various sectors. This has attracted attention for a secure communication framework to access e-health data on mobile devices. The wearable sensor device is attached to the patient's body which monitors the blood pressure, body temperature, serum cholesterol, glucose level, etc. In the proposed secure framework, first, the task starts with the patient authentication, after that the sensors device linked to the patient is activated and the sensor values of the patient are transmitted to the cloud server. The patient's biometrics information has been added as a parameter in addition to the user name and password. The authentication scheme is coined with the SHA-512 algorithm that ensures integrity. To securely send the sensor information, the method follows two kinds of encryption: Substitution-Ceaser cipher and improved Elliptical Curve Cryptography (IECC). Whereas in improved ECC, an additional key (secret key) is generated to enhance the system's security. In this way, the intricacy of the two phases is augmented. The computational cost of the scheme in the proposed framework is 4H + Ec + Dc which is less than the existing schemes. The average correlation coefficient value is about 0.045 which is close to zero shows the strength of the algorithm. The obtained encryption and decryption time are 1.032 μs and 1.004μs respectively. The overall performance is analyzed by comparing the proposed improved ECC with existing Rivest-Shamir-Adleman (RSA)and ECC algorithms.

Highlights

In addition to wearable monitoring systems, the Internet of things (IoT), is a fast-growing technology that is expected to bring a broad range of healthcare applications [1]
PROPOSED METHODOLOGY In this work we have proposed a layered framework of the cloud-based healthcare system shown as figure 1
For simulation of proposed system Hungarian data set has been used for patient data, which is freely available in public domain [48]

Summary

Introduction

In addition to wearable monitoring systems, the Internet of things (IoT), is a fast-growing technology that is expected to bring a broad range of healthcare applications [1]. The associate editor coordinating the review of this manuscript and approving it for publication was Ding Xu. The mobile communication technologies like 5G has made possible for patients and healthcare providers to provide service with Internet of things and sensors to send blood sugar level, ECG (Electrocardiogram), thyroid level, blood pressure, cholesterol level. Centralized health monitoring services focused on IoT can help the safety and ease of elderly people who can’t access to healthcare services [6]

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