Paper 2026/831 Original: eprint.iacr.org/2026/831 ↗

LockMeld: A Privacy-Preserving Cross-Chain Protocol for Confidential, Account-Based Blockchains

Hanqing Huang
Chenke Wang
Yu Long
Xian Xu
Dawu Gu
Abstract

In this paper, we present LockMeld, the first solution for enabling private cross-chain transfers when both underlying chains rely on homomorphic commitments to safeguard transaction amounts. LockMeld tackles the core challenges of ensuring unlinkability without sacrificing availability and accommodating arbitrary transaction amounts. Central to our solution is a batching technique that selectively discloses transaction details to the cross-chain intermediary, preventing any actor from directly correlating a sender’s escrow on one chain with the corresponding redemption on the other. Moreover, LockMeld combines additive homomorphic public-key encryption with randomizable signatures over randomizable commitments, ensuring robust on-chain confidentiality while still enabling necessary account management for future transactions. We provide not only a rigorous game-based security analysis but also demonstrate the protocol’s resilience against both malicious participants and external adversaries. We also implement and evaluate LockMeld's performance. This empirical validation reveals that LockMeld’s privacy guarantees can be achieved in practice without incurring excessive overhead, making it an attractive option for privacy-conscious cross-chain interoperability.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint.
History
2026-04-28: last updated
2026-04-28: published
Short URL
https://ia.cr/2026/831
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2026/831,
      author = {Hanqing Huang and Chenke Wang and Yu Long and Xian Xu and Dawu Gu},
      title = {LockMeld: A Privacy-Preserving Cross-Chain Protocol for Confidential, Account-Based Blockchains},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/831},
      year = {2026},
      url = {https://eprint.iacr.org/2026/831}
}
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