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.
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Hamza, F.Z. et al. (2022). Applying Advanced IoT Network Topologies to Optimize COVID-19 Sanitary Passport Platform Based on CoAP Protocol. In: Maleh, Y., Alazab, M., Gherabi, N., Tawalbeh, L., Abd El-Latif, A.A. (eds) Advances in Information, Communication and Cybersecurity. ICI2C 2021. Lecture Notes in Networks and Systems, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-91738-8_38
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