Confusion Matrics And CyberSecurity

  • False Negative (FN) is the number of incorrect predictions that an example is negative which means positive class incorrectly identified as negative.
  • False positive (FP) is the number of incorrect predictions that an example is positive which means negative class incorrectly identified as positive.
  • True Negative (TN) is the number of correct predictions that an example is negative which means negative class correctly identified as negative..

Role of Confusion Matrix in Cyber Crime—

1. We Can Create Phishing URL Detection With Python And ML

  • Is misspelled
  • Points to the wrong top-level domain
  • A combination of a valid and a fraudulent URL
  • Is incredibly long
  • Is just be an IP address
  • Has a low pagerank
  • Has a young domain age

2. Network traffic analysis —

3. Attack and anomaly detection in IoT sensors —

4. Using Parallel Support Vector Machine —

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