IoT is a network of physical things or objects that are integrated
with sensors, software, electronics, and network connectivity. By 2030, the
total number of IoT devices is expected to reach 75.4 billion. With the aid of
various medical sensors, a remote patient monitoring system will be designed
for Internet of Things (IoT)-based telemedicine applications. With the aid of
AI algorithms, the healthcare sensor data will eventually be identified and
forecasted. In the current healthcare sector, a lot of sensitive data is
exchanged. The integration of an increasing number of digital technologies in
hospitals, together with laboratory and outpatient examinations of patients and
their accompanying files, have all contributed to the growth of data related to
patient care in recent years. Electronic health record systems are medical
management systems that include all of a patient’s personal and medical data.
As a consequence, this data must be stored and secured in the cloud. This paper
describes a data storage and security solution that is well-suited for the
Internet of Medical Things. The proposed model consists of a security framework
for IoT-based telemedicine applications. Because of the shorter key length, the
improved Elliptic Curve Cryptography (ECC) approach using Blake2 hashing takes
substantially less time to encrypt. The data is encrypted with the created key
and the Advanced Encrypted Standard (AES). The proposed security approach is a
hybrid cryptography technique that combines symmetric and asymmetric key
encryption, resulting in a more secure system.
Author(s) Details
Arasada
Subashini
Department of Electronics, Gayatri Vidya Parishad for Degree and
P.G Courses (A), Visakhapatnam, 530007, India.
K.
Nataraju
Department of Electronics, Gayatri Vidya Parishad for Degree and
P.G Courses (A), Visakhapatnam, 530007, India.
Please
see the book here:- https://doi.org/10.9734/bpi/crpps/v3/200
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