Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
Pietro Tiberi, Gabriele Marcelli, Vitangelo Lasorella
Abstract
Central Bank Digital Currency (CBDC) interbank settlement systems operating on Distributed Ledger Technology (DLT) face a fundamental trade-off: blockchain transparency enables trustless verification but exposes commercially sensitive bilateral transaction flows to all network participants. We propose a confidential interbank settlement protocol for permissioned Ethereum-compatible networks that resolves this tension through a relaxed sender anonymity model tailored to regulatory AML/CFT requirements. In this model, the initiating institution remains publicly identifiable on-chain for accountability and compliance, while the receiving institution, transfer amount, and business payload are cryptographically obfuscated. We realize the protocol on Hyperledger Besu using QBFT consensus, combining Groth16 zero-knowledge proofs over BN254, Poseidon hash commitments in an incremental Merkle tree, multi-recipient ECIES payload encryption, and an on-chain NoteRegistry contract that stores encrypted notes as an append-only ledger log, eliminating trusted off-chain custody servers. The protocol supports shield, confidential transfer, and unshield state transitions. Experimental evaluation across a five-node network (three commercial banks, a central bank operator, and a securities depository) demonstrates end-to-end settlement in 8-16 s, proof verification overhead of about 1 ms (around 220k gas) via EVM precompiles, and client proof generation in 4-12 s on commodity ARM hardware. While receiver confidentiality is established at the protocol level, the current proof-of-concept NoteRegistry uses owner-indexed events, a trade-off addressable in production via uniform event broadcasting.
Create a lesson
Related papers
Analog Pin Directionality as an Exfiltration Attack Surface in Mixed-Signal ICs
Ramana Ranganatham, Chirag Adiga, Michael Zuzak et al.
Characterizing Network Centralization and Observability in the Remote MCP Ecosystem
Muhammad Abdullah Sohail
When Agents Look Like Beacons: NIDS Evasion by Model Context Protocol Traffic
Muhammad Abdullah Sohail
Hamming Ideals and Grobner Bases for ISD-like Syndrome Decoding
Roberto La Scala, Marco Marchesin, Sharwan K. Tiwari
ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions
Guosen Wu, Huizhen Huang, Guoxiong Long et al.
CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection
Jean-Charles Noirot Ferrand, David Adei, Anders Møller et al.