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 Biometrics has been deemed a secure method of identification and verification by many scholars, few banks in Kenya have implemented the use of biometric features, such as fingerprints, for customer and system user identification. Some individuals put the system in place but fail to utilise it fully. What could be the key determinants of the successful implementation or adoption of biometric systems for identification and verification? What are the elements that make it possible for a banking institution to adopt and use biometric systems for identification and verification effectively? The study aimed to investigate the impact of security and privacy in biometric applications for authorisation and identification in cybersecurity within banks in Eldoret Town. The contingency theory, diffusion innovation theory, and unified theory of acceptance and use of technology guided the study. 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 have a significant influence on the use of biometric applications in authorisation and identification within cybersecurity in banks in Kenya. The study recommended that banks provide customers with convenient and more secure banking services. Additionally, the study proposed a model for evaluating a biometric system before its implementation. The model will be used to ensure the 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 banks enhance the level of cybersecurity for authorisation and identification.
Keywords: Biometric Systems, System Security, Data Privacy, Technology Adoption.
Scope of the Article: Manufacturing Processes