dc.description.abstract |
This research proposal focused on the use of blockchain-based identity management systems to
prevent identity theft in the Kenyan banking sector. Identity theft is a significant concern that poses
risks to individuals and financial institutions. The study aims to explore the benefits of
implementing encryption, immutability, and decentralization in blockchain-based systems and
their impact on preventing identity theft. The research objectives include identifying the specific
benefits of encryption, examining how immutability contributes to preventing identity theft, and
assessing the influence of decentralization on identity theft prevention. The research employed a
descriptive research design, gathering data through surveys and interviews from banking
professionals and customers in Nairobi County. The study area, Nairobi County, was selected due
to its prominence as the financial hub of Kenya, housing numerous banks and a high incidence of
identity theft cases. The target population consists of bank employees and customers, with a
sample size determined using the Cochran's formula. Data analysis involved both quantitative and
qualitative methods. Quantitative data was analyzed using descriptive statistics, correlation
analysis, and regression analysis to test the research hypotheses. Qualitative data was thematically
analyzed and coded to identify recurring patterns and themes. The findings of this study will
contribute to the existing body of knowledge on the benefits of blockchain-based identity
management systems for preventing identity theft. The research provides insights into the
effectiveness of encryption, immutability, and decentralization in enhancing the security and
integrity of identity data. The study's implications informs policy decisions and guide the
implementation of robust identity management systems in the banking sector to mitigate the risks
of identity theft. |
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