Securing Intelligent Services with End-to-End Trusted Computing

• Grant number: 25/20749-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2025
• End date: September 30, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Luis Henrique Maciel Kosmalski Costa
• Grantee: Pedro Cintra Silveira
• Host Institution: Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa (COPPE). Universidade Federal do Rio de Janeiro (UFRJ)
• Associated research grant: 23/00673-7 - Distributed intelligence in communications networks and in the internet of things, AP.TEM

Abstract

Internet of Things devices monitor critical processes such as industrial plants and autonomous vehicles. These services rely on training machine learning models using a large amount of data sent to the cloud. This project proposes and evaluates the use of Trusted Execution Environments to ensure the security of these critical services from data collection to processing (end-to-end). The goal is to ensure integrity and privacy even when attackers gain privileged physical access to devices or cloud machines, without degrading performance.