• Computer Science > Networking and Internet Architecture [Submitted on 18 Feb 2026] Title:Managing Credible Anonymous Identities in Web 3.0 Services: A Scalable On-Chain Admission Framework with Recursive Proof Aggregation View PDF HTML (experimental)Abstract:Open Web 3.0 platforms increasingly operate as \emph{service ecosystems} (e.g., DeFi, DAOs, and decentralized social applications) where \emph{admission control} and \emph{account provisioning} must be delivered as an always-on service under bursty demand. • Service operators face a fundamental tension: enforcing Sybil resistance (one-person-one-account) while preserving user privacy, yet keeping on-chain verification cost and admission latency predictable at scale. • Existing credential-based ZK admission approaches typically require per-request on-chain verification, making the provisioning cost grow with the number of concurrent joiners. • We present \textbf{ZK-AMS}, a scalable admission and provisioning layer that bridges real-world \emph{Personhood Credentials} to anonymous on-chain service accounts. • ZK-AMS combines (i) zero-knowledge credential validation, (ii) a \emph{permissionless} batch submitter model, and (iii) a decentralized, privacy-preserving folding pipeline that uses Nova-style recursive aggregation together with multi-key homomorphic encryption, enabling batch settlement with \emph{constant} on-chain verification per batch. • We implement ZK-AMS end-to-end on an Ethereum testbed and evaluate admission throughpu

Article Summaries:

  • Researchers have introduced ZK‑AMS, a scalable admission and provisioning framework for Web 3.0 services such as DeFi, DAOs, and decentralized social platforms. The system links real‑world personhood credentials to anonymous on‑chain accounts using zero‑knowledge validation. It employs a permissionless batch submitter and a Nova‑style recursive aggregation pipeline combined with multi‑key homomorphic encryption, allowing many credential checks to be settled with a single, constant‑cost on‑chain verification per batch. An Ethereum testbed implementation demonstrates stable gas usage regardless of batch size and significantly higher admission throughput compared to non‑recursive approaches, offering a cost‑predictable solution for large‑scale Web 3.0 communities.

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