Downloads provided by UsageCounts
Biometric technology has been seen as a driving force for the future direction of strong authentication. Although Biometric has been deemed by many scholars as secure method of identification and verification, few banks in Kenya have implemented the use of biometric features such as fingerprints for customer and systems user identification. There are some that put in place the system but failed to fully utilize the system.What could be the key determinants to successful implementation or adoption of the biometric systems for identification and verification. What are the elements that makes it possible for a banking institution to effectively adopt and use the biometric systems for identification and verification. The study sought to determine the effect of security and privacy in biometric application for authorization and identification in cyber security in banks in Eldoret Town. The study was guided by the contingency theory, diffusion innovation theory, and unified theory of acceptance and use of technology. A descriptive survey design was used. The study comprised of 548 employees from 30 commercial banks in Eldoret Town. The study concludes that security and privacy influence biometric application in authorization and identification in cyber security in banks in Kenya. The study recommended that banks should provide convenient and more secured banking services to customers. Additionally, the study recommended a model for evaluation of biometric system before its implementation. The model will be used to ensure successful implementation and application of the system. The determinants are: security and privacy. Biometric technology in banks needs to integrate with the existing traditional security system which will help the banks the level of authorization and identification cyber security.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts