Evaluation of Users’ Knowledge and Concerns of Biometric Passport Systems

Taban Habibu, Edith Talina Luhanga and Anael Elikana Sam
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Taban Habibu: Department of Applied Mathematics and Computational Sciences (AMCS), Nelson Mandela African Institution of Science and Technology (NM-AIST), 447 Arusha, Tanzania
Edith Talina Luhanga: Department of Applied Mathematics and Computational Sciences (AMCS), Nelson Mandela African Institution of Science and Technology (NM-AIST), 447 Arusha, Tanzania
Anael Elikana Sam: Department of Communication Science and Engineering (CoSE), Nelson Mandela African Institution of Science and Technology (NM-AIST), 447 Arusha, Tanzania

Data, 2019, vol. 4, issue 2, 1-17

Abstract: The increase in terrorism and identity fraud has forced governments worldwide to make a combined effort to enhance the security of national borders. Biometric passports are the emergent identity travel document deployed in guaranteeing the safekeeping of the entry point of the border and limiting the usage of counterfeit documents. This study analyzes users’ concerns and threats to the biometric passport delivery system in Uganda, where the first biometric passports are planned for rollout in 2019. We used a mixed approach to compute and articulate the results. Factors impacting fear of technology like disclosure of personal data, improper data transmission, and data abuse were determined. Relevance knowledge of preferred technology such as the personal experience of the technology, data privacy awareness and perceived usefulness was confirmed. Threats and attacks on the technology such as counterfeit and brute-force were identified. It is important for policymakers and security expertise to understand that biometric technologies evoke fears of privacy and public liberties infringements. Therefore, end user’s acceptance of biometric passports will be dependent on the degree of trust in the technology itself and in those operating the applications.

Keywords: biometric passport; technology trust; end-user; threats (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
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