2026-06-102026-06-102025-08-27OLIVEIRA, Felipe Sousa de. Uso de IA generativa para análise de tráfego de rede local. Orientador: José Jailton Henrique Ferreira Junior. 2025. 19 f. Trabalho de Curso (Bacharelado em Engenharia de Computação) – Faculdade de Engenharia da Computação, Campus Universitário de Castanhal, Universidade Federal do Pará, Castanhal, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/9593. Acesso em:.https://bdm.ufpa.br/handle/prefix/9593This work investigates the application of Generative Artificial Intel ligence (GAI) models in local network traffic analysis, aiming to identify ab normal behavior during the use of conventional services. The research involves collecting and processing simulated traffic data using various services to reflect real-world scenarios. The data is then analyzed using different GAI models, such as ChatGPT, DeepSeek, and Gemini, in order to assess their effectiveness in anomaly detection. The approach explores the accessibility of these tools for users with basic networking knowledge, without relying exclusively on cyber security specialists. The results aim to indicate which model performs best in identifying malicious traffic, contributing to practical and accessible solutions in the field of network security.Acesso AbertoInteligência artificialTráfego de redeDDoSCNPQ::ENGENHARIASTrabalho de Curso - Graduação - Artigo