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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.
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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