Keystroke Authentication on Enhanced Needleman Alignment Algorithm

@inproceedings{Bamatraf2014KeystrokeAO,
  title={Keystroke Authentication on Enhanced Needleman Alignment Algorithm},
  author={Seham Bamatraf and Mohamed Bamatraf and Osman Hegazy},
  year={2014}
}
An important point for computer systems is the identification of users for authentication. One of these identification methods is keystroke dynamics. The keystroke dynamics is a biometric measurement in terms of keystroke press duration and keystroke latency. However, several problems are arisen like the similarity between users and identification accuracy. In this paper, we propose innovative model that can help to solve the problem of similar user by classifying user’s data based on a… CONTINUE READING

Figures, Results, and Topics from this paper.

Key Quantitative Results

  • Similarity, the precision of our proposed system is better by about 40% over the nearest precision which is also achieved by BayesNet.
  • The experiments proved that Needleman is very promising in extracting user patterns with accuracy rate 80% and precision rate 90.3%.

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

Password authentication using Keystroke Biometrics

  • 2015 International Conference on Communication, Information & Computing Technology (ICCICT)
  • 2015
VIEW 2 EXCERPTS
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 38 REFERENCES