Security and Privacy Determinants in Biometric Application in Cyber Security in Banks in Eldoret Town, Kenya
Misoi K. Thomas1, James Ogalo2, Ben Maake3
1Misoi K. Thomas, Student (M.Sc Information Systems) Department of Computing Sciences, School of Information Science and Technology, Kisii University Kenya.
2Dr. James Ogalo, Lecturer, Department of Computing Sciences, School of Information Science and Technology, Kisii University, Kenya.
3Dr. Ben Maake, Lecturer, Department of Computing Sciences, School of Information Science and Technology, Kisii University, Kenya.
Manuscript received on 16 June 2022 | Revised Manuscript received on 26 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 28-33 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96570712823 | DOI: 10.35940/ijitee.H9657.0712823
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Biometric Systems, System Security, Data Privacy, Technology Adoption.
Scope of the Article: Manufacturing Processes