Volume 33, Issue 1, 2024
DOI: 10.53555/03276716.2024.08
Preserving COVID Related Cardio-Vascular Impairment Records in a Mobile Cloud Infra via Secure Ecosystem
Abstract
A crucial technique called virtualization, whereby a hypervisor creates several distinct virtual units is used to develop mobile clouds. With the help of the dynamic cloud platform, end-users will carry out complicated functions and organize essential information using smart devices (thin clients) especially in maintaining health records. A few significant issues are providing secure authentication, validation and integrity of health records via MC services, which are adequate and advanced consent for dynamic data authorizations with block chain.
A thin client makes cloud strategies preferable to telemedicine platforms, especially in tracking risk assessments. Individuals with COVID-19 require specialized cardiac care, emphasizing prompt diagnosis and treatment of heart problems. The Bayesian technique is used in this study to predict the risk of Cardio-Vascular Disease (CVD) with COVID symptoms. Such security ensures risk-free accessibility of CVD records at the end-user point. Three-tier security measures have been provided to the CVD-oriented risk-assessed records in the MC infra. The first tier of security adopts the Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms to ensure authentication and validation of the legal data transaction process with SHA-512 for layered authentication. In contrast, the second tier includes progressive security orders and third tier integrated through blockchain technology.
Assessing security is notoriously challenging; often, the only way to do so is to evaluate a system's robustness by observing how well it fares against well-known attacks. Thus, the quantitative analysis deals with various facts and metrics (confidentiality rate, protection index Vs vulnerability index, and protection index Vs attack index) with respect to the resistance rate of the model against a few attacks. The qualitative analysis exhibits the influence of COVID symptoms on CVD and their associated dispersion of data transaction in MC infra (low, moderate, and high). In contrast to a few current models, the suggested model shows the best outcomes, according to multiple analyzes.
Keywords
encryption, cryptosystem, blockchain, security, cloudlet, CVD, COVID, authentication, two-tier security, mobile ecosystem