M. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / Computer based assessments have become one of the largest growing sectors in both nonacademic
and academic establishments. Successful computer based assessments require
security against impersonation and fraud and many researchers have proposed the use of
Biometric technologies to overcome this issue. Biometric technologies are defined as a
computerised method of authenticating an individual (character) based on behavioural and
physiological characteristic features. Basic biometric based computer based assessment
systems are prone to security threats in the form of fraud and impersonations. In a bid to
combat these security problems, keystroke dynamic technique and facial biometric
recognition was introduced into the computer based assessment biometric system so as to
enhance the authentication ability of the computer based assessment system. The keystroke
dynamic technique was measured using latency and pressure while the facial biometrics was
measured using principal component analysis (PCA). Experimental performance was carried
out quantitatively using MATLAB for simulation and Excel application package for data
analysis. System performance was measured using the following evaluation schemes: False
Acceptance Rate (FAR), False Rejection Rate (FRR), Equal Error Rate (EER) and Accuracy
(AC), for a comparison between the biometric computer based assessment system with and
without the keystroke and face recognition alongside other biometric computer based
assessment techniques proposed in the literature. Successful implementation of the proposed
technique would improve computer based assessment’s reliability, efficiency and
effectiveness and if deployed into the society would improve authentication and security
whilst reducing fraud and impersonation in our society.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:vut/oai:digiresearch.vut.ac.za:10352/569 |
| Date | 12 1900 |
| Creators | Adetunji, Temitope Oluwafunmilayo |
| Contributors | Zuva, Tranos, Prof., Appiah, Martin, Dr. |
| Publisher | Vaal University of Technology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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