Keystroke dynamics


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Keystroke dynamics, or typing dynamics, is the detailed timing information that describes exactly when each key was pressed and when it was released as a person is typing at a computer keyboard.

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Keystroke dynamics

  1. 1. Seminar On - Keystroke Dynamics
  2. 2. Contents • Introduction  Overview of Biometrics  Characteristics • Various approaches of research on keystroke dynamics  Techniques  Analysis • Advantages/Drawbacks of keystroke dynamics • Research Available • Conclusion
  3. 3. User Authentication Approaches
  4. 4. What is Biometric Authentication? • An automatic method that identifies user or verifies the identity of living individuals. • Types of Biometric  Physiological (Physical )  Behavioural (Behavioural )
  5. 5. Physiological characteristics • Biological/chemical based –  Finger prints  Iris, Retinal scanning  Hand shape geometry  blood vessel/vein pattern  Facial recognition  ear image  DNA
  6. 6. Behavioral characteristics • A reflection of an individual’s psychology Hand written signatures Voice pattern Mouse movement dynamics Gait (way of walking) Keystroke dynamics
  7. 7. Keystroke Dynamics • Keystroke dynamics, or typing dynamics, is the detailed timing information that describes exactly when each key was pressed and when it was released as a person is typing at a computer keyboard. • The recorded keystroke timing data is then processed through a unique neural algorithm, which determines a primary pattern for future comparison
  8. 8. Keystroke Verification Techniques • Static verification (Fixed text mode)  Only based on password typing rhythm  Authentication only at login time • Dynamic verification (free text mode)  pattern regardless of the typed text  A continuous or periodic monitoring (On-the-fly user authentication)
  9. 9. Some metrics for user verification • • • • • • • • • Typing speed Keystroke seek-time Flight time Characteristic sequences of keystrokes Examination of characteristic errors Frequency of error Method of error correction Pressure (Force of keystrokes) Duration of a specific keystroke.
  10. 10. Keystroke analysis • Variety of methods Mean typing rate(wpm) Inter-interval comparison Digraph Trigraph
  11. 11. Biometric System
  12. 12. Advantages : • Software Only method. (No Additional Hardware except a Keyboard) • Simple To Deploy and Use (username & passwords) – Universally accepted • Cost Effective • No End-User Training • It provides a simple natural way for increased computer security • Can be used over the internet
  13. 13. Drawbacks: • User’s susceptibility to fatigue • Dynamic change in typing patterns • Injury, skill of the user • Change of keyboard hardware.
  14. 14. Applications: • There are several home software and commercial software products which claim to use keystroke dynamics to authenticate a user :  BioTracker -is a biometric authentication software that uses continuous authentication to verify the identity of a user.  AdmitOneSecurity - formerly Bio Password is a patented commercial system which uses keystroke dynamics.  bioCheck- has a patented implementation which uses keystroke dynamics for ubiquitous web-based login as well as workstation authentication.
  15. 15. Further Research Available • Researchers said that it will carry out more investigation on the continuous authentication problem in our future work. • From last few years researchers are also working on the typing rhythm of an individuals. • Working for the design of more robust authentication systems.
  16. 16. Conclusions • It seems promising , still needs more efforts specially for identification  Iris scanners provide the lowest total error rate - on the order of 10-6 in many cases  Even fingerprints provide an less error rate. • As security mechanism is not visible, un authorized users cant have idea of security measure. • It is quickly emerging, low cost, non intrusive alternative • To traditional biometric technology.
  17. 17. References • [1] IEEE Keystroke dynamics as a biometric for authentication, Fabian Monrose, Aviel D. Rubin, March 1999. • [2] IEEE, Keystroke-Dynamics Authentication Against Synthetic Forgeries Deian Stefan • [3] Zeljka Zorz [Online] Avaliable: • [4] wikipedia[Online] Avaliable :
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