This project focuses on cyber attack detection using advanced machine learning models, including Logistic Regression, Multilayer Perceptron (MLP), Decision Tree, Random Forest, and Naive Bayes. Employing a rigorous evaluation process, we determined that the Multilayer Perceptron (MLP) model exhibited the highest accuracy among the tested algorithms.
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cyber attack detection
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sanskriti-lal/CybGuard
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cyber attack detection
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