NASCIMENTO, Manoel Henrique Reis2025-07-012025SILVA JÚNIOR, Walter Claudino da; NASCIMENTO, Manoel Henrique Reis. Sistema Unificado de Detecção e Mitigação de Ataques de Evil Twin em Redes Wi-Fi Industriais com IoT/IIoT. Revista de Gestão e Secretariado – GeSec, São José dos Pinhais, PR, v. 16, n. 6, p. 1–22, 2025. DOI: https://doi.org/10.7769/gesec.v16i6.4982.https://doi.org/10.7769/gesec.v16i6.4982https://rigalileo.itegam.org.br/handle/123456789/1192Wi-Fi network security in industrial environments has become a critical challenge in the era of digital transformation, especially with the widespread adoption of IoT and IIoT devices. The Evil Twin attack, which creates fraudulent access points identical to legitimate ones, poses a serious threat to confidentiality and availability in industrial systems. This study proposes a Unified Detection and Mitigation System (UDMS) that integrates RADIUS-based robust authentication, continuous monitoring using Snort intrusion detection system, and centralized access management via Active Directory. Tested in five progressive scenarios, the system reduced attack success rates from 87% (WPA2-PSK) to just 2%, while maintaining latency below 400ms, with low false positive (6%) and false negative (3%) rates. The research provides a practical framework for securing industrial Wi-Fi networks without compromising operational performance.pdf.Evil TwinWi-FiSegurança da InformaçãoRedes IndustriaisInternet das Coisas (IoT/IIoT)ArtigoEngenharia Elétrica