Benchmarking the performance of a self-custody, non-ledger-based, obliviously managed digital payment system

• URL: http://arxiv.org/abs/2404.12821v1
• Date: Fri, 19 Apr 2024 11:57:32 GMT
• Title: Benchmarking the performance of a self-custody, non-ledger-based, obliviously managed digital payment system
• Authors: William Macpherson, Geoffrey Goodell,
• Abstract summary: This paper advances an existing retail CBDC framework developed at University College London. Our proposed design allows users to retain direct custody of their assets without the need for intermediary service providers. In parallel, we introduce a streamlined Digital Ledger designed to offer fast, immutable, and decentralized transaction validation.
• Score: 1.2277343096128712
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: As global governments intensify efforts to operationalize retail central bank digital currencies (CBDCs), the imperative for architectures that preserve user privacy has never been more pronounced. This paper advances an existing retail CBDC framework developed at University College London. Utilizing the capabilities of the Comet research framework, our proposed design allows users to retain direct custody of their assets without the need for intermediary service providers, all while preserving transactional anonymity. The study unveils a novel technique to expedite the retrieval of Proof of Provenance, significantly accelerating the verification of transaction legitimacy through the refinement of Merkle Trie structures. In parallel, we introduce a streamlined Digital Ledger designed to offer fast, immutable, and decentralized transaction validation within a permissioned ecosystem. The ultimate objective of this research is to benchmark the performance of the legacy system formulated by the original Comet research team against the newly devised system elucidated in this paper. Our endeavour is to establish a foundational design for a scalable national infrastructure proficient in seamlessly processing thousands of transactions in real-time, without compromising consumer privacy or data integrity.

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