Keystroke pressure-based typing biometrics authentication system using support vector machines

Simple item page
dc.contributor.authorMartono, Wahyudi
dc.contributor.authorAli, Hasimah
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-08-14T10:50:15Z
dc.date.available2019-08-14T10:50:15Z
dc.date.issued2007-08-26
dc.description.abstractSecurity of an information system depends to a large extent on its ability to authenticate legitimate users as well as to withstand attacks of various kinds. Confidence in its ability to provide adequate authentication is, however, waning. This is largely due to the wrongful use of passwords by many users. In this paper, the design and development of keystroke pressure-based typing biometrics for individual user’s verification which based on the analysis of habitual typing of individuals is discussed. The combination of maximum pressure exerted on the keyboard and time latency between keystrokes is used as features to create typing patterns for individual users so as to recognize authentic users and to reject impostors. Support vector machines (SVMs), which is relatively new machine learning, is used as a pattern matching method. The effectiveness of the proposed system is evaluated based upon False Reject Rate (FRR) and False Accept Rate (FAR). A series of experiment shows that the proposed system is effective for biometric-based security system.en_US
dc.identifier.citationMartono, W., Ali, H., & Salami, M. J. E. (2007, August). Keystroke pressure-based typing biometrics authentication system using support vector machines. In international Conference on Computational Science and Its Applications (pp. 85-93). Springer, Berlin, Heidelberg.en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-540-74477-1_8
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/457
dc.language.isoenen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.subjectBiometricen_US
dc.subjectSecurityen_US
dc.subjectKeystrokeen_US
dc.subjectMaximum pressureen_US
dc.subjectTime latencyen_US
dc.subjectSupport vector machineen_US
dc.titleKeystroke pressure-based typing biometrics authentication system using support vector machinesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Keystroke pressure-based typing biometrics authentication system using support vector machines.pdf
Size:
373.6 KB
Format:
Adobe Portable Document Format
Description:
Article full-text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles in Electrical and Electronics Engineering