CRETApr 6

DAO to (Anonymous) DAO Transactions

arXiv:2604.0436918.2
Predicted impact top 72% in CR · last 90 daysOriginality Incremental advance
AI Analysis

This addresses the need for unified organizational payment mechanisms in blockchain systems, particularly for DAOs and consortiums, though it is incremental as it builds on existing threshold and stealth-address techniques.

The paper tackles the problem of enabling secure and optionally anonymous transactions between decentralized autonomous organizations (DAOs) by introducing the Dao^2 framework, which achieves a complete anonymous DAO-to-DAO transaction in under 27 ms with less than 1.2 KB of communication for a typical 7-member DAO.

Blockchain assets are increasingly controlled by organizations rather than individuals. DAO treasuries, consortium wallets, and custodial exchanges rely on threshold authorization and multi-party key management, yet existing payment mechanisms still target single-user wallets, leaving no unified solution for organizational transfers. We formalize the problem of \emph{DAO-to-(anonymous)-DAO} transactions and present \textsc{Dao$^2$}, a framework that enables one threshold-controlled organization to pay another, optionally with recipient anonymity, while keeping received funds under distributed control. \textsc{Dao$^2$} combines three components: \emph{distributed key derivation} (DKD) for non-stealth child addresses, \emph{distributed stealth-address generation} (DSAG) for unlinkable one-time destinations, and \emph{threshold signatures} for authorization. For ordinary transfers, the receiver derives a non-stealth address via DKD; for anonymous transfers, it derives a stealth address via DSAG. The sender then threshold-signs the payment, and the receiver redeems the funds without reconstructing any master secret. We formally prove its security and evaluate a prototype. A complete anonymous DAO-to-DAO transaction for a typical-sized (e.g., 7-member) DAO finishes in under 27\,ms with less than 1.2\,KB of communication, and scales linearly with DAO size.

Foundations

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