Quasi Finite Doubling Kohel and Burrows Abadi Certificateless Signcryption for Secured IOT Healthcare Data Transmission

Resumen

The linking of the biomedical sensors in healthcare with cloud for internet-of-medicalthings
(IoMT) has considerable prospective to refine people's existent lifestyle. The privacypreserving
of patient health information and the authentication between sensors are two major
facets that influence the supplementary implementations of cloud-oriented IoMT mechanics.
To complement the existing literature, in this work, a novel method called, Quasi Finite
Doubling Kohel and Burrows Abadi Certificateless Signcryption (QFDK-BACS) for the IoT
environment is designed. The proposed QFDK-BACS method consists of three sections,
namely, cloud user registration, signcryption and unsigncryption. First, with the body motion
and vital signs obtained from distinct sensor devices, registration process is performed by
means of Quasi Finite and Doubling Kohel-based Cloud for IoMT, Second, for the registered
cloud users signcryption process is done by employing Burrows–Abadi–Needham logic–
based Signcryption. Finally, upon requirement of information Dolev Yao Adversary–based
Unsigncryption process is performed and only upon successful validation, the corresponding
medical information is provided to the intended recipient. Security analyses and comparisons
with the respective existing methods are performed to reveal the viability of the proposed
method. A comparative analysis also reveals that the QFDK-BACS method achieves better
tradeoff for data confidentiality and data integrity, and storage cost with increased accuracy,
in comparison to two other competing methods.