Um Testbed para o Ensino de Abordagens de IDS Baseadas em IA em Redes Emuladas

• Paulo E. Valentim IFCE
• Reinaldo B. Braga IFCE
• Antonio W. Oliveira IFCE

DOI: https://doi.org/10.5753/ctrle.2023.232915

Abstract

In recent years, there has been a significant increase in internet traffic, driven by the global pandemic and the growing importance of online activities. As a result of this growth, the number of cyber crimes has also increased. In this context, Intrusion Detection Systems (IDSs) need to improve detection accuracy and reduce false alarm rates. This work presents an emulated network-based testbed for teaching IDS approaches based on Artificial Intelligence (AI). As a result, a high-level, scalable interface environment was developed that allows the community to focus on their approaches with less concern for issues related to the test environment.

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