Secure data communication IoT and wireless sensor network for COVID-19

Autor: Manoharan, Anto Merline, Sumithra, M.G.
Zdroj: International Journal of Sensor Networks; 2021, Vol. 36 Issue: 1 p11-24, 14p
Abstrakt: Coronavirus disease (COVID 19) is the dangerous pandemic that scares the world from November 2019 affects more than 50% of the world population. Internet of things (IoT) is coming as a survivor to manage the pandemic situation because of its controlling and monitoring capability without human intervention. In this paper, Secure IoT integrated withwireless sensor network (WSN) for COVID 19 is implemented to monitor the infected patient's health condition. The sensor node's monitored data are encrypted using the different existing encryption algorithms to secure the health care data. Triad parallel advanced encryption standard (AES) algorithmis novel encryption algorithm proposed to encrypt the data in the internet server that improves the security of the stored data and the parallel processing reduces the execution time of the algorithm in insignificant amount. In this proposed work, the performance evaluation of the network in different encryption algorithms are carried out.
Databáze: Supplemental Index