Abstract
In the age of the Internet of Things, connected devices are changing the delivery system in the healthcare communication environment. With the integration of IoT in healthcare, there is a huge potential for improvement of the quality, safety, and efficiency of health care in addition to promising technological, economical, and social prospects. Nevertheless, this integration comes with security risks such as data breach that might be caused by credential-stealing malware. In addition, the patient valuable data can be disclosed when the perspective devices are compromised since they are connected to the internet. Hence, security has become an essential part of today’s computing world regarding the ubiquitous nature of the IoT entities in general and IoT-based healthcare in particular. In this paper, research on the algorithm for anonymizing sensitive information about health data set exchanged in the IoT environment using a wireless communication system has been presented. To preserve the security and privacy, during the data session from the users interacting online, the algorithm defines records that cannot be revealed by providing protection to user’s privacy. Moreover, the proposed algorithm includes a secure encryption process that enables health data anonymity. Furthermore, we have provided an analysis using mathematical functions to valid the algorithm’s anonymity function. The results show that the anonymization algorithm guarantees safety features for the considered IoT system applied in context of the healthcare communication systems.
Highlights
Nowadays, medical caregivers are able to monitor the patient’s status in real-time and the relevant status can be updated time-to-time using applications and infrastructures
It is seen as a megatrend technology in information and communication technology (ICT) that is influencing the entire business spectrum with more advantages going beyond machine-to-machine (M2M) states [2]
This paper presents an approach to the solution based on the anonymization process that provides features such as privacy and security of sensitive health dataset
Summary
Medical caregivers are able to monitor the patient’s status in real-time and the relevant status can be updated time-to-time using applications and infrastructures. IoT-based care, the servicescan providers access the data and have capabilities to possibly or a-posteriori control or reveal the sender’s message in their system to other entities, irrespective of the perform a-priori or a-posteriori control or reveal the sender’s message in their system to other concerned privacy level. Such a situation usually happens when the relevant institutions entities, irrespective of the concerned privacy level. We present a strong mathematical basis to prove the privacy and security functions that protect the data being exchanged over the internet using a wireless communication system This method follows the homomorphism equation via the Identity-based Encryption (IBE).
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