Paper 2025/539
Aegis: Scalable Privacy-preserving CBDC Framework with Dynamic Proof of Liabilities
Abstract
Blockchain advancements, currency digitalization, and declining cash usage have fueled global interest in Central Bank Digital Currencies (CBDCs). The BIS states that the hybrid model, where central banks authorize intermediaries to manage distribution, is more suitable than the direct model. However, designing a CBDC for practical implementation requires careful consideration. First, the public blockchain raises privacy concerns due to transparency. While zk-SNARKs can be a solution, they can introduce significant proof generation overhead for large-scale transactions. Second, intermediaries that provide user-facing services on behalf of the central bank commonly performs Proof of Liabilities on customers' static liabilities. However, in real-world scenarios where user liabilities can arbitrarily increase or decrease, the static nature poses such as window attacks.
In this paper, we propose a new smart contract-based privacy-preserving CBDC framework based on zk-SNARKs, called
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Preprint.
- Keywords
- CBDCPoLBlockchainzero-knowledge proofzk-SNARKs
- Contact author(s)
-
kwonhojeong @ hanyang ac kr
leejw1496 @ gmail com
minhaekim44 @ hanyang ac kr
byeongkyuhan @ kookmin ac kr
jihyek @ kookmin ac kr
hoh @ hanyang ac kr - History
- 2025-03-25: approved
- 2025-03-24: received
- See all versions
- Short URL
- https://ia.cr/2025/539
- License
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CC BY
BibTeX
@misc{cryptoeprint:2025/539, author = {Gweonho Jeong and Jaewoong Lee and Minhae Kim and Byeongkyu Han and Jihye Kim and Hyunok Oh}, title = {Aegis: Scalable Privacy-preserving {CBDC} Framework with Dynamic Proof of Liabilities}, howpublished = {Cryptology {ePrint} Archive, Paper 2025/539}, year = {2025}, url = {https://eprint.iacr.org/2025/539} }