Seminário de Avaliação - Série A: Homomorphic Cryptography Applied in SIR and SIRV Models Library

Orientadores:
Fábio Borges de Oliveira - Laboratório Nacional de Computação Científica - LNCC

Banca Examinadora:
Fábio Borges de Oliveira - Laboratório Nacional de Computação Científica - LNCC (presidente)
Renato Portugal - Laboratório Nacional de Computação Científica - LNCC
Pedro Carlos da Silva Lara - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca - CEFET/RJ

Suplentes:
Bruno Richard Schulze - Laboratório Nacional de Computação Científica - LNCC

Resumo:

In this work we consider SIR (susceptible-infected-removed population), and SIRV, model of the COVID-19 disease, with parameters given by Brazilian data of the Ministério da Saúde. One way to solve numerically the system related to the SI R, and SIRV, model is using the Forward Euler Method and Finite Difference Method. These methods allow us to implement in Python to obtain the desired results of the dynamics of the populations involved. Another part of our work is to use the homomorphic encryption in the SIR model, and then compare the results obtained with the results obtained without encryption of the system.