EVENTO
A METAMODEL FOR PREDICTING THE EFFECTS OF INFECTIOUS DISEASES ON HEALTHCARE SYSTEMS WITH ENCRYPTED DATA
Tipo de evento: Exame de Qualificação
Protecting personal data in our information-based era is a challenge. Security and privacy are important in all areas of our life, especially with regards to health. Infectious diseases generate social stigmas in patients, and hospitals have the challenge of dealing with the current pandemic caused by COVID-19 and ensure privacy in healthcare systems. To mitigate the inherent risks of unauthorized access to data, system administrators can use hardware and software for ensuring data management mechanisms. However, we still see massive data leaks on the internet because deceptive administrators and cyber-attacks on computer vulnerabilities can give an attacker administrative access and, therefore, full access to servers and their data. Considering the constant cyber-attacks on the web and the imminent risk of privacy leakage, the goal of this work is to propose a metamodel that adapts a computational model to securely process sensitive data with cryptography, specifically, homomorphic encryption based on lattice. The computational model predicts the effects of infectious diseases on healthcare systems, and its authors present a numerical simulation based on data collected during the COVID-19 pandemic. We present the metamodel results of a numerical simulation based on the same data, using homomorphic operations, which its both accurately and precisely in comparison with the original model results but at the cost of a significant increase in time. Nevertheless, the metamodel is still computationally workable and significantly fast enough for users. Therefore, we ensure security and privacy for predicting the effects of infectious diseases on healthcare systems independent of deceptive administrators and reducing the computer vulnerabilities to mathematical problems.Para assistir acesse: meet.google.com/beo-yjwx-kqi
Data Início: 04/02/2022 Hora: 10:00 Data Fim: 04/02/2022 Hora: 13:00
Local: LNCC - Laboratório Nacional de Computação Ciêntifica - Webinar
Aluno: Renato José Policani Borseti - - LNCC
Orientador: Fábio Borges de Oliveira - Laboratório Nacional de Computação Científica - LNCC
Participante Banca Examinadora: Bruno Richard Schulze - Laboratório Nacional de Computação Científica - LNCC Rafael Timóteo de Sousa Jr - - UNB Renato Portugal - Laboratório Nacional de Computação Científica - LNCC
Suplente Banca Examinadora: Jack Baczynski - Laboratório Nacional de Computação Científica - LNCC
