D3O-IIoT: orquestación dinámica de engaño impulsada por aprendizaje por refuerzo profundo para la seguridad del IoT

Usman Wushishi1, Altaf Hussain2, Muhammad Imran Khalid1

  • 1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.

Scientific reports
|December 21, 2025
PubMed
Resumen

La ciberseguridad de los sistemas de IoT industrial (IIoT) se mejora con D3O-IIoT, un modelo de aprendizaje por refuerzo que orquesta dinámicamente técnicas de engaño. Este sistema de defensa adaptativo mejora significativamente la mitigación de ataques al tiempo que minimiza las falsas alarmas en entornos industriales con recursos limitados.

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