Keystroke dynamics in password authentication enhancement

Pin Shen Teh, Connie Tee, Thian Song Ong, Andrew Beng Jin Teoh

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)


This paper describes a novel technique to strengthen password authentication system by incorporating multiple keystroke dynamic information under a fusion framework. We capitalize four types of latency as keystroke feature and two methods to calculate the similarity scores between the two given latency. A two layer fusion approach is proposed to enhance the overall performance of the system to achieve near 1.401% Equal Error Rate (EER). We also introduce two additional modules to increase the flexibility of the proposed system. These modules aim to accommodate exceptional cases, for instance, when a legitimate user is unable to provide his or her normal typing pattern due to reasons such as hand injury.

Original languageEnglish
Pages (from-to)8618-8627
Number of pages10
JournalExpert Systems with Applications
Issue number12
Publication statusPublished - 2010 Dec

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research Center (BERC) at Yonsei University.

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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