Blockchain, AI & IoT Based COVID-19 Contact Tracing and Distancing Framework
Muhammad Mohsan Sheeraz, Ali Athar, Ali Hussain, Satyabrata Aich, Moon-Il Joo, Hee‐Cheol Kim · 2021
COVID-19 contact tracing, maintaining social distance from an infected person, and spotting the hotspots is a difficult and time taking process. Many traditional methods can be used for this purpose but these methods have limited capabilities. Using these methods the process becomes more complex, slower, and difficult. This process involves the storage and sharing of personal data that requires security and privacy. To address these issues, we have proposed a blockchain, AI, and IoT-based framework for COVID-19 contact tracing and distancing. In this framework, Every user registers on the blockchain and gets public and private key pairs, the access level of every user is defined in the smart contract. The activity data of the user is collected using the smartwatch, which ensures real-time and accurate data collection. The data is encrypted with the keys of the data owner and stored on the cloud. So in case of data leakage, no one can decrypt the data without keys, so in this way, the secure data storage issue is resolved. Every transaction is recorded on the blockchain, it makes auditing easy in case of any malicious data transaction. Every user can access data according to its access level defined in the smart contract, it ensures the security of data. By the analysis of data, the ML model predicts the infected person and spot the COVID-19 hotspot areas.