Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

【Author】 Aslam, Bakhtawar; Javed, Abdul Rehman; Chakraborty, Chinmay; Nebhen, Jamel; Raqib, Saira; Rizwan, Muhammad

【Source】PERSONAL AND UBIQUITOUS COMPUTING

【影响因子】

【Abstract】Life-threatening novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), also known as COVID-19, has engulfed the world and caused health and economic challenges. To control the spread of COVID-19, a mechanism is required to enforce physical distancing between people. This paper proposes a Blockchain-based framework that preserves patients' anonymity while tracing their contacts with the help of Bluetooth-enabled smartphones. We use a smartphone application to interact with the proposed blockchain framework for contact tracing of the general public using Bluetooth and to store the obtained data over the cloud, which is accessible to health departments and government agencies to perform necessary and timely actions (e.g., like quarantine the infected people moving around). Thus, the proposed framework helps people perform their regular business and day-to-day activities with a controlled mechanism that keeps them safe from infected and exposed people. The smartphone application is capable enough to check their COVID status after analyzing the symptoms quickly and observes (based on given symptoms) either this person is infected or not. As a result, the proposed Adaptive Neuro-Fuzzy Interference System (ANFIS) system predicts the COVID status, and K-Nearest Neighbor (KNN) enhances the accuracy rate to 95.9% compared to state-of-the-art results.

【Keywords】Blockchain; Internet of Medical Things (IoMT); Adaptive Neuro-Fuzzy Interference System (ANFIS); Privacy; COVID-19; Mobile computing; Contact tracking; Security; Anonymity

【发表时间】2021

【收录时间】2022-01-02

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