Tuned Decision Trees Catch Black Hole Attacks in IoT Networks With 98.71% Accuracy

Subject of Research: Machine learning detection of black hole attacks in RPL-based Internet of Things networks Article Title: An optimized machine learning approach to mitigate black hole attacks in IoT networks Article References: Das, A., Adhikari, N., & Mohapatra, S. K. (2026).

An optimized machine learning approach to mitigate black hole attacks in IoT networks.

Tuned Decision Trees Catch Black Hole Attacks in IoT Networks With 98.71% Accuracy.

“Tuned Decision Trees Catch Black Hole Attacks in IoT Networks With 98.71% Accuracy.”

“Tuned Decision Trees Catch Black Hole Attacks in IoT Networks With 98.71% Accuracy.”