Confusion Matrix in Cyber Security

What is Confusion Matrix?

  • True Positive [ TP ]: In TP, the Machine Learning model predicted right and it was actually right.
  • True Negative [ TN ]: In TN, the Machine Learning model predicted right but actually it was the wrong prediction, also called False alarm.
  • False Positive [ FP ]: In FP, the model predicts the wrong but actually it was right
  • False Negative [FN ]: In FN, the model predicted wrong and actually it as wrong.
  • False Negative and
  • False Positive

Confusion Matrix’s implementation in monitoring Cyber Attacks:

Conclusion:

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