ABSTRACT
Being in a period of covid-19 urges us to develop platforms that help in minimizing the spread of the virus. Thus, this paper proposes a Medical IoT platform that is created to control citizens’ access to public areas. Our platform focuses on three scenarios on which a citizen is admitted to: being vaccinated which means that the person holds a vaccine pass that contains a unique QR code, possessing a PCR test which means that the person holds a unique barcode, and having an RFID tag which contains a unique identifier. All scenarios start with the same test which allows us to detect the presence of a citizen using a PIR IoT Client node, and end with one last test which is the face recognition to verify the present citizen is indeed who he/she claims to be. Only if one of the scenarios is valid can the citizen be allowed to access the public space. To ensure communication between the IoT nodes we developed our platform based on the Constrained Application Protocol CoAP. As for the security of the payloads, we have implemented RSA, AES, and ECC encryption algorithms to protect the integrity of the data and prevent any attacks. We also based our platform on 4 types of network topologies namely star, tree, mesh, and cluster. The use of different topologies and different encryption methods will allow us to eventually choose which one best matches the platform’s requirements, and that is in terms of execution time and memory occupation. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The product of this work is based on the creation of a medical IoT platform that serves to control citizens to access public or private space to prevent the spread of the covid-19 pandemic. Our platform discusses 3 scenarios in which a citizen can be allowed to: the first scenario is used to verify citizens who are vaccinated by their QR Code and facial authentication, the second scenario is used to verify citizens who have done a PCR test (which is only valid for 48 h) and the facial recognition test as well, and finally we have the third scenario which starts by measuring the body temperature and then verifying the identity by presenting an RFID number and passing the facial recognition test. This platform is implemented on 4 types of network topologies (Star, Tree, Mesh, Cluster) to choose which one best matches our platform’s needs in terms of execution time, memory occupation, and energy consumption. Since this platform is secure and intelligent, we opted for using the CoAP communication protocols to ensure communication between the nodes. We used the AES/RSA-SHA256 encryption algorithm to ensure data security and protection from any attacks. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.