A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0

Abstract

Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart medical devices on IoMT platforms has led to the adoption of major technologies in the modernization of healthcare procedures, the administration of diseases, and the improvement in patient treatment standards. The IoMT offers a variety of cloud-based applications, including data exchange, data screening, patient surveillance, information collection and analysis, and hygienic hospital attention. Wireless sensor networks (WSNs) are responsible for both the gathering and delivery of data. Method: The safety of patients and their right to privacy are the top priorities in the healthcare sector. Anyone may see and modify the patient’s health information because the data from these smart gadgets are sent wirelessly through the airways. Hence, we developed a unique elliptic curve cryptography-based energy-efficient routing protocol (ECC-EERP) to provide a high level of security and energy efficient system for healthcare 5.0. Data can be encrypted using the key-based method ECC-EERP. It employs pairs of public and private keys to decrypt and encrypts web traffic and reducse the amount of energy needed by a WSN in aggregate. Result and Discussion: The efficiency of the suggested method was evaluated in comparison with that of a variety of existing methods. The suggested method was evaluated with the use of many parameters such as security, encryption throughput, energy efficiency, network lifetime, communication overload, computation time, and implementation cost. The results showed that the proposed technique provides enhanced security and energy efficiency.

Semi-Supervised Clustering-Based DANA Algorithm for Data Gathering and Disease Detection in Healthcare Wireless Sensor Networks (WSN)

“…The following lemma gives a sufficient and necessary condition. A symmetric function implements an inner product in some space if and only if it is positive semi definite; namely, for all , the Gram matrix is a positive semi definite matrix [ 32 ].…”

“…K-mean clustering: In WSNs, K-suggests is a very basic yet efficient approach [ 32 , 33 ]. We anticipate having many sensor center points, , and we need to organize them into Nc packs, each of which contains a bundle head (CH) at the center.…”

Cybersecurity for Sustainable Smart Healthcare: State of the Art, Taxonomy, Mechanisms, and Essential Roles

“…The healthcare sector has transformed from healthcare 1.0 to healthcare 5.0, with different technologies used in each stage. Healthcare 1.0 (predigital era) was established between 1970 and 1990, healthcare 2.0 (digitization era) was from 1991 to 2005, the healthcare 3.0 era was established between 2006 and 2015, the healthcare 4.0 era was established between 2016 and 2019, and the era of healthcare 5.0 was established between 2020 and the present [10][11][12].…”

“…It consists of (1) a perception or sensor layer, (2) a network layer, (3) an edge computing layer, (4) a fog computing layer, (5) a gateway layer, (6) a cloud computing layer, (7) a blockchain layer, (8) a data analytics layer, (9) a security layer, (10) an application layer, and (11) a regulatory layer. These layers support various functions, such as gathering medical data from patients using sensors and wearable devices, protecting medical data, storing data, analyzing data, and visualizing data by patients and healthcare professionals [10][11][12]. A wide range of emerging digital technologies, such as sensors and wearable technology, the internet of things (IoT), cloud computing, fog computing, edge computing, blockchain technology, drone technology, robotics, quantum computing, fifth-generation (5G) communication technology, three-dimensional (3D) printing and scanning, big data, nanotechnology, artificial intelligence, machine learning, deep learning, computer vision, tactile internet/haptics, virtual reality, augmented reality, and mixed reality, are used to successfully implement SHS [13][14][15][16].…”

“…A wide range of emerging digital technologies, such as sensors and wearable technology, the internet of things (IoT), cloud computing, fog computing, edge computing, blockchain technology, drone technology, robotics, quantum computing, fifth-generation (5G) communication technology, three-dimensional (3D) printing and scanning, big data, nanotechnology, artificial intelligence, machine learning, deep learning, computer vision, tactile internet/haptics, virtual reality, augmented reality, and mixed reality, are used to successfully implement SHS [13][14][15][16]. These technologies have revolutionized healthcare services by offering essential services such as (1) real-time continuous patient remote monitoring and tracking, (2) telemedicine, (3) ambient assisted living, (4) smart selfmanagement, (5) smart treatment reminders, compliance, and adherence, (6) personalized and connected healthcare, (7) disease diagnosis and treatment, (8) health management, (9) disease prevention and risk monitoring, (10) virtual assistants, (11) smart hospital management, (12) assisting drug research, (13) smart ambulances, (14) telesurgery, (15) virtual reality therapy, (16) predictive analytics, and (17) electronic health records [17][18][19]. The integration of smart technologies has revolutionized patient care and operational efficiency in the ever-evolving healthcare landscape.…”