FACIAL CAPTURE AS A MEASURE TO SOLVING CBT EXAMINATION MALPRACTICES

Abstract

The adoption of Computer Based Testing (CBT) by Nigerian Tertiary Education Institutions has helped to address some of the challenges relating to the conduct of examinations and results processing. The most prominent of these challenges is the impersonation and to tackle these eventualities, multi-layered security architecture is implemented to ensure the authenticity of the student participating in the CBT. The architecture will assist Nigerian University administrators to effectively plan the conduct of CBT and develop in-house solution that will engender the reduction in the examination malpractices in CBT. The introduction of the facial capture reduced the intents of the students in engaging in the act of impersonation. The first security layer is the profiling of the registered students that are eligible to partake in the test, the second layer is the biometric capture to identify and authenticate that the student is the original person to partake in the test. The third layer is the facial capture on the system before the commencement of the test. The proposed system will be designed and implemented using algorithmic approach and a web-based application which will be deployed on the LAN of the institution. Therefore, this research presents the implementation of the multi-tiered layered security in mitigating the incidences of impersonation during CBT.