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Empowering the Government through use of Central Bank Digital Currency (CBDC) and Machine Learning to identify Frauds

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dc.contributor.author Idrees, Sarmad
dc.contributor.author Supervised by Dr. Imran Rashid.
dc.date.accessioned 2023-04-12T05:51:31Z
dc.date.available 2023-04-12T05:51:31Z
dc.date.issued 2023-02
dc.identifier.other TIS-366
dc.identifier.other MSIS-19
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/32722
dc.description.abstract The fight against corruption requires transparency as a critical weapon in t he arsenal. Given the subjective nature of these events, they are considered among the most challenging to assess. The growing interest in digital currencies such as Bitcoin and the underlying blockchain and distributed ledger technology (DLT) has created opportunities for significant impact on the financial sector and even the broader economy. This thesis examines the potential for a Central Bank Digital Currency (CBDC) to transform all aspects of the monetary system and provide greater transparency to the governing authorities. Our research has concluded that a CBDC, specifically, could serve as a virtually cost free and transparent medium of exchange, a secure store of value, and a reliable unit of account. We have considered the feasibility of implementing CBDC in any country and have identified potential trade-offs that could be negotiated by all stakeholders to achieve a minimum-cost solution for users and infrastructure. The thesis emphasizes the importance of every country, including Pakistan, developing its own CBDC to meet its unique needs and challenges, and highlights the significance of providing a solid framework to ensure the successful implementation of CBDC in the country. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Empowering the Government through use of Central Bank Digital Currency (CBDC) and Machine Learning to identify Frauds en_US
dc.type Thesis en_US


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