An Approach Toward Enhancing OT and IoT Security

• Gustavo Almeida SENAI
• Patrick Taraborelli SENAI
• Hebert Silva UNICAMP / SESI-SENAI

Resumo

The convergence of Operational Technology (OT) and the Internet of Things (IoT) offers great industrial potential and introduces critical security challenges. This paper proposes a comprehensive architecture that enhances security and privacy in these interconnected systems by integrating a robust network security infrastructure, SIEM, and anomaly detection through a Federated Learning (FL) model. This framework strengthens system resilience against threats while enabling adaptive learning from distributed data, preserving privacy. The solution empowers industries to leverage OT and IoT integration benefits without compromising security.

Palavras-chave: Cybersecurity, OT, IoT, SIEM, Federated Learning