The seminar discusses keystroke dynamics as a biometric authentication method that analyzes typing patterns to verify user identity. It covers the types of biometric methods, their advantages and drawbacks, along with applications and ongoing research for more robust systems. Although promising and cost-effective, keystroke dynamics still faces challenges such as user variability and typing pattern changes.

1. Seminar On -
Keystroke Dynamics

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. User Authentication Approaches

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. Physiological characteristics
• Biological/chemical based –
 Finger prints
 Iris, Retinal scanning
 Hand shape geometry
 blood vessel/vein pattern
 Facial recognition
 ear image
 DNA

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. 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. 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. Some metrics for user verification
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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. Keystroke analysis
• Variety of methods
Mean typing rate(wpm)
Inter-interval comparison
Digraph
Trigraph

11. Biometric System

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. Drawbacks:
• User’s susceptibility to fatigue
• Dynamic change in typing patterns
• Injury, skill of the user
• Change of keyboard hardware.

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. 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. 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. 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: http://www.netsecurity.org/article.php?id=1610
• [4] wikipedia[Online] Avaliable :
http://en.wikipedia.org/wiki/Keystroke_dynamics