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What is Cloud Security via Ensemble Learning about?

This dissertation presents a framework for mitigating security challenges in cloud computing by addressing human factors through ensemble machine learning techniques. It highlights the inadequacy of existing research that primarily focuses on technological aspects and emphasizes the need to consider human behavior in security measures. The proposed models achieved an average accuracy rate of 98.5%, demonstrating their effectiveness in countering threats posed by human actions.

Author

josephadebisi512

Language

EN