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A keystroke biometric spoofer created to test the strength of the strength of various keystoke dynamic based authentication systems

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Aarif123456/KeystrokeDynamicsSpoofer

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KeystrokeDynamicsSpoofer

A keystroke biometric spoofer created to test the strength of the strength of various keystroke dynamic based authentication systems

Authenticator using 4 evaluation algorithms

  • Euclidean distance
  • normalized Euclidean distance
  • Manhattan distance
  • scaled Manhattan distance

Spoofer

  • Implemented using genetic algorithm to create keystrokes that similar to the target user
  • Try using different population to determine optimal setting for your device
  • Try different method of evaluation - see which ones run longer

Classifier - classify users depending on their behavior

  • sheep - most people fit here- they have a lower error rate and higher acceptance rate compared to other groups
  • goat - their behavior vary to the point where the system has a hard time recognizing them - they tend to get rejected by their own model
  • lamb - they seem to be users that are easy to mimic
  • wolf - these people have an easier time pretending to be other users

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A keystroke biometric spoofer created to test the strength of the strength of various keystoke dynamic based authentication systems

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