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Glossary

Coconut

Coconut is a threshold issuance credential scheme that combines blind signatures with zero-knowledge proofs to enable privacy-preserving attribute-based credentials.
Chainscore © 2026
definition
BLOCKCHAIN PROTOCOL

What is Coconut?

Coconut is a privacy-focused cryptographic protocol for issuing and redeeming anonymous credentials on distributed ledgers.

Coconut is a cryptographic scheme that enables the issuance of selectively disclosable credentials on a blockchain, allowing users to prove specific attributes of their identity or qualifications without revealing the underlying data or linking multiple transactions. It is built upon zero-knowledge proofs and blind signatures, combining the trust model of a decentralized ledger with strong privacy guarantees. The protocol was first introduced in a 2018 academic paper titled "Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers."

The core innovation of Coconut is its threshold issuance mechanism, where a credential is signed not by a single authority but by a decentralized group of signers. A user's secret data is blinded and sent to multiple signers in the network, each of which produces a partial signature. Only when a sufficient threshold of these partial signatures is collected can a valid, unlinkable credential be reconstructed. This process prevents any single signer from learning the user's full secret or forging credentials independently, enhancing both security and censorship resistance.

A primary application of Coconut is in privacy-preserving transactions. For instance, a user could obtain a credential proving they have sufficient funds in an account without revealing the account balance or identity. They can then spend those funds by presenting a zero-knowledge proof derived from the credential, ensuring the transaction is valid but unlinkable to the original issuance or their other transactions. This functionality is crucial for implementing anonymous digital cash or access control systems on transparent ledgers.

The protocol's selective disclosure feature allows for complex attestations. A credential can encode multiple attributes (e.g., age > 21, valid license, credit score). The user can then generate a proof for a specific predicate ("I am over 21") without leaking any other information. This makes Coconut suitable for KYC/AML compliance where users must prove eligibility without exposing their full identity dossier, or for anonymous voting where eligibility must be verified without revealing voter identity.

Technically, Coconut is often implemented using pairing-based cryptography, such as BLS signatures, which allow for signature aggregation. Its design is blockchain-agnostic and has been integrated into research projects and networks focusing on transactional privacy. By decoupling credential issuance from spending, Coconut provides a powerful, modular primitive for building systems that require both auditability (through the public ledger) and user privacy.

how-it-works
PRIVACY-PRESERVING CREDENTIALS

How the Coconut Scheme Works

The Coconut scheme is a cryptographic protocol for issuing and verifying privacy-preserving credentials on a blockchain, enabling selective disclosure of attributes.

The Coconut scheme is a cryptographic protocol that enables the issuance and verification of privacy-preserving credentials on a blockchain. It allows a central issuer to sign a set of user attributes, creating a credential that the user can later prove certain properties about—such as being over a certain age or holding a valid license—without revealing the credential itself or any unrelated attributes. This process is achieved through the use of zero-knowledge proofs and blind signatures, which separate the act of issuance from the act of verification, ensuring the user's data remains confidential.

At its core, the protocol involves three main parties: an issuer, a user (or prover), and a verifier. The issuer uses a secret key to generate a cryptographic signature on a set of the user's attributes. The user can then transform this signature into a zero-knowledge proof that convinces a verifier of specific statements about those attributes. For example, a user could prove they are a resident of a particular country for a voting dApp without revealing their name or exact address. The verification is performed against the issuer's public key, ensuring the credential's authenticity without needing to see its full contents.

Key cryptographic components include elliptic curve pairings and commitment schemes. The issuer's signature is created on Pedersen commitments to the user's attributes, which hide the attribute values. The user later generates a zk-SNARK or similar proof that they possess a valid signature on commitments that satisfy the required predicate (e.g., age > 21). This allows for complex, attribute-based authentication where trust is decentralized; verifiers only need the issuer's public key and the proof, not a centralized database of user credentials.

A primary application of Coconut is in decentralized anonymous credentials for blockchain systems. It can be integrated into DeFi for proving creditworthiness without exposing financial history, used in DAO governance for sybil-resistant voting based on verified humanhood or reputation, or applied in supply chain to prove compliance standards are met without disclosing proprietary data. Its design ensures unlinkability, meaning multiple proofs from the same credential cannot be linked together by verifiers, providing strong long-term privacy.

The scheme's architecture is inherently blockchain-compatible as the verification logic—checking a zero-knowledge proof against a public key—is a lightweight, deterministic computation suitable for smart contracts. This allows trustless applications where the smart contract acts as the verifier, enabling functionalities like private token airdrops to eligible users or gated access to services. Compared to traditional anonymous credential systems, Coconut is notable for its modularity and efficiency in decentralized, transparent environments where data minimization is critical.

key-features
BLOCKCHAIN PRIVACY PROTOCOL

Key Features of Coconut

Coconut is a cryptographic protocol for issuing and redeeming anonymous credentials on distributed ledgers. It enables selective disclosure of attributes from certified data.

02

Threshold Issuance

Credential signing keys are distributed among a decentralized set of authorities using threshold cryptography. To issue a credential, a user must collect partial signatures from a threshold number of authorities (e.g., 3 out of 5). This removes reliance on a single, trusted issuer and enhances system security and liveness.

03

Selective Disclosure

Users can cryptographically reveal only specific attributes from a multi-attribute credential. For example, a credential containing {age: 25, country: US, subscription: pro} can be used to prove "I am over 21 and have a pro subscription" without disclosing exact age or nationality. This enables fine-grained privacy-preserving verification.

04

Unlinkable Redemption

A single Coconut credential can be used to generate many unlinkable tokens or proofs for different services. A service provider cannot tell if two redemptions came from the same user or credential, providing strong transaction unlinkability. This prevents profiling and tracking across applications.

05

Aggregation of Credentials

Multiple credentials from different issuers can be aggregated into a single zero-knowledge proof. A user could combine a credential from a KYC provider with one from a credit agency to prove a compound statement (e.g., "I am accredited and verified") in one step, simplifying complex verification workflows.

06

On-Chain Verification

Coconut proofs are succinct and can be efficiently verified by smart contracts on blockchains like Ethereum. This allows decentralized applications (dApps) to gate access or trigger actions based on anonymous credentials, enabling private voting, anonymous airdrops, or compliant DeFi without doxxing users.

core-cryptographic-components
COCONUT

Core Cryptographic Components

Coconut is a zero-knowledge credential scheme that enables selective disclosure of attributes from a signed credential, enhancing privacy for blockchain applications like decentralized identity and anonymous payments.

01

Core Cryptographic Primitives

Coconut builds upon pairing-based cryptography and zero-knowledge proofs. Its core mechanism involves:

  • Blind Signatures: A signer can issue a credential on a user's private attributes without seeing them.
  • Attribute-Based Credentials: A single credential can encode multiple attributes (e.g., age, citizenship).
  • Zero-Knowledge Proofs: Users can prove they possess a valid credential and that specific attributes satisfy a policy (e.g., age > 21) without revealing the credential or other attributes.
02

Selective Disclosure & Proof Generation

A user can generate a selective disclosure proof for a verifier. This process involves:

  • The user takes their Coconut credential, which is a cryptographic signature on hidden attributes.
  • They create a zero-knowledge proof that convinces the verifier the credential is valid and that the disclosed attributes (e.g., a public key) are correct, while keeping all other attributes secret.
  • The proof is unlinkable, meaning multiple proofs from the same credential cannot be linked together by the verifier.
03

Threshold Issuance

To decentralize trust in the credential issuer, Coconut employs threshold cryptography.

  • A distributed set of authorities (e.g., a decentralized network) holds shares of a master signing key.
  • A user collects partial signatures from a threshold number of these authorities (e.g., 3 out of 5).
  • The user then combines these partial signatures into a single, valid Coconut credential. No single authority learns the user's full private attributes or can issue a credential alone.
04

Application: Anonymous Payments

A primary use case is privacy-preserving transactions. For example, in a decentralized anonymous payment system:

  1. A user obtains a credential attesting they have X coins in their account, without revealing the account itself.
  2. To spend coins, they create a proof showing a valid credential for the required amount and generate a one-time public key for the transaction.
  3. The blockchain verifies the proof, transfers funds, and cannot link the transaction to the user's original account or other transactions. This is analogous to zero-knowledge confidential transactions.
05

Relation to Other ZK Systems

Coconut is part of a family of privacy technologies but has distinct characteristics:

  • vs. zk-SNARKs (e.g., Zcash): Coconut is optimized for credential-based privacy and selective disclosure, while zk-SNARKs often prove the validity of entire state transitions.
  • vs. Ring Signatures (e.g., Monero): Coconut provides attribute-based anonymity and policy proofs, whereas ring signatures provide sender ambiguity within a set.
  • vs. Plain Digital Signatures: Standard signatures (ECDSA) are fully revealing; Coconut signatures are zero-knowledge.
primary-use-cases
COCONUT

Primary Use Cases

Coconut is a privacy-preserving protocol that enables selective disclosure of credentials on-chain. It allows users to prove specific claims (e.g., being over 18) without revealing the underlying document or their full identity.

01

Private Identity Verification

Enables KYC/AML compliance without exposing personal data. Users can prove they are verified by a trusted issuer to access a DeFi protocol, while the issuer never learns which protocol they are using. This is achieved through zero-knowledge proofs (ZKPs) that validate the credential's signature and the disclosed attribute.

02

Credit Scoring & Underwriting

Allows users to prove a credit score range or income bracket to a lender without revealing their exact score, transaction history, or identity. This facilitates private underwriting for loans and other financial products, moving beyond simplistic over-collateralization in DeFi.

03

Gated Access & Memberships

Used to control access to token-gated communities, DAOs, or physical events. A user can prove they hold a specific NFT, are a citizen of a country, or have completed a course, without linking their wallet address to their real-world identity or other on-chain activity.

04

Regulatory Compliance (DeFi)

Helps DeFi protocols comply with regulations like the Travel Rule or MiCA in a privacy-preserving manner. A user can prove their wallet is not sanctioned or that a transaction is below a reporting threshold, submitting the proof to the protocol instead of raw personal data to a centralized validator.

05

Decentralized Attestations

Supports the creation and verification of privacy-preserving attestations on networks like Ethereum. An entity (e.g., a university) can issue a signed credential (a Coconut credential) to a user, who can later selectively disclose parts of it across different dApps without creating a public, permanent link on-chain.

TECHNICAL OVERVIEW

Comparison with Other Credential Schemes

A feature and security comparison of Coconut credentials against other major privacy-preserving credential systems.

Feature / PropertyCoconut CredentialsCL-Signatures (Idemix)BBS+ SignaturesRSA-based Anonymous Credentials

Cryptographic Foundation

Pairing-based, Threshold Issuance

Pairing-based (CL)

Pairing-based (BBS+)

RSA Accumulators & ZKPs

Selective Disclosure

Multi-Authority Issuance

Threshold Issuance

Credential Unlinkability

Proof Size (approx.)

~1.5 KB

~30 KB

~1 KB

~25 KB

Primary Use Case

Decentralized, scalable privacy

Enterprise identity

Verifiable credentials (W3C)

Early academic models

security-considerations
COCONUT PROTOCOL

Security & Trust Considerations

Coconut is a privacy-focused protocol that enables selective disclosure of credentials using zero-knowledge proofs. Its security model is built on cryptographic primitives and decentralized trust assumptions.

01

Zero-Knowledge Proofs (ZKPs)

The core privacy mechanism. Coconut uses zero-knowledge proofs to allow a user to prove a statement about their credentials (e.g., 'I am over 18') without revealing the credential itself. This prevents sensitive data from being linked across transactions or services.

  • Selective Disclosure: Users reveal only the minimum information required.
  • Unlinkability: Multiple proofs from the same credential cannot be correlated.
02

Decentralized Issuance & Trust

Credentials are issued by a decentralized threshold authority. A group of issuers holds secret key shares; a threshold number must collaborate to issue a valid credential. This removes reliance on a single, centralized issuer and prevents single points of failure or corruption.

  • Threshold Cryptography: Requires a quorum (e.g., 3 out of 5) to issue.
  • Trust Distribution: Trust is distributed across the issuing committee.
03

Blind Signatures

Coconut employs blind signature schemes. The issuer can sign a user's credential without seeing its contents, ensuring the issuer cannot learn the user's private attributes or later link the signed credential to the user. This is a fundamental building block for credential privacy.

  • Issuer Blindness: The issuer signs a blinded message.
  • User Unlinkability: The final unblinded signature is untraceable to the issuance session.
04

Credential Integrity & Forgery Prevention

The system ensures credentials cannot be forged or altered. Cryptographic signatures bind the credential to the issuer's public key and the user's secret. Any tampering invalidates the proof.

  • Cryptographic Binding: Attributes are cryptographically committed within the credential.
  • Public Verifiability: Anyone can verify a credential's validity against the issuers' public keys without interacting with them.
05

Trust Assumptions & Attack Vectors

Security depends on specific trust assumptions. Key considerations include:

  • Issuer Committee Honesty: A malicious majority of issuers could collude to forge credentials.
  • Cryptographic Security: Relies on the hardness of underlying problems like the Decisional Diffie-Hellman (DDH) assumption.
  • Implementation Security: Bugs in smart contracts or client software could leak data.
06

Use Case: Private Transactions

A primary application is anonymizing blockchain transactions. A user can obtain a credential proving they have sufficient funds (from an issuer watching a public chain) and then spend it in a private zk-rollup or sidechain. The payment is valid but reveals no link to the original public address or transaction history.

  • Asset Provenance: Prove an asset's origin without revealing the full path.
  • Compliance: Demonstrate regulatory compliance (e.g., KYC) privately across multiple dApps.
ecosystem-usage
COCONUT

Ecosystem Implementation & Research

Coconut is a cryptographic protocol for privacy-preserving credentials, enabling selective disclosure of attributes in zero-knowledge. Its primary application is in decentralized identity and compliance, allowing users to prove statements about their data without revealing the data itself.

02

Decentralized Identity & Compliance (DeFi)

Coconut's primary implementation is for privacy-preserving KYC/AML in decentralized finance. A trusted issuer (e.g., a regulator) can issue a credential attesting to a user's verified identity or jurisdiction. The user can then interact with DeFi protocols, proving they are compliant (e.g., "I am over 18" or "I am not from a sanctioned country") without revealing their specific identity or passport details. This bridges regulatory requirements with user privacy.

03

Threshold Issuance Scheme

To decentralize trust in the issuer, Coconut employs a threshold signature scheme. A credential is issued not by a single entity, but by a decentralized committee of authorities. A user collects partial signatures from a threshold number of these authorities (e.g., 3 out of 5) to assemble a valid credential. This prevents any single authority from forging credentials or censoring users, enhancing the system's robustness and censorship resistance.

04

Integration with Chainscore

Chainscore Labs utilizes Coconut-like credential schemes as a core research area for on-chain reputation and sybil resistance. The research focuses on how privacy-preserving credentials can be used to:

  • Create anonymous yet accountable user profiles.
  • Enable sybil-resistant airdrops and governance.
  • Build privacy-enhanced credit scoring without exposing personal financial data. This moves beyond simple KYC to a generalized framework for trusted, private attributes in web3.
05

Comparison to Other ZK Credentials

Coconut differs from other credential systems like zk-SNARKs-based or SELFS protocols in its specific design choices:

  • Selective Disclosure: Built-in support for revealing subsets of attributes.
  • Blind Issuance: The issuer signs attributes without learning their values.
  • Aggregation: Multiple credentials can be aggregated into a single proof.
  • Threshold Trust: Native support for decentralized issuance committees. These features make it particularly suited for decentralized, multi-party trust scenarios.
COCONUT

Frequently Asked Questions

A cryptographic protocol enabling private cross-chain transactions and identity attestations. These questions address its core mechanisms and applications.

The Coconut protocol is a cryptographic scheme that enables the issuance of zero-knowledge credentials for off-chain attributes, which can then be anonymously and trustlessly spent on-chain. It works by separating the credential issuance process from its presentation. A set of decentralized authorities collaboratively sign a user's private attributes (e.g., KYC status, credit score) to create a cryptographic credential. The user can then generate a zero-knowledge proof that they possess a valid credential meeting specific criteria, without revealing the credential itself or the underlying data, allowing for private and selective disclosure in transactions.

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Coconut: Privacy-Preserving Credential Scheme | ChainScore Glossary