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Glossary

CL Signature

A CL Signature (Camenisch-Lysyanskaya signature) is a cryptographic signature scheme that supports efficient zero-knowledge proofs of signature possession, commonly used in anonymous credential systems.
Chainscore © 2026
definition
CRYPTOGRAPHIC PRIMITIVE

What is a CL Signature?

A CL signature is a type of digital signature scheme that enables the creation of anonymous credentials and privacy-preserving protocols.

A CL Signature (Camenisch-Lysyanskaya signature) is a cryptographic signature scheme that supports efficient zero-knowledge proofs of signature possession. Developed by Jan Camenisch and Anna Lysyanskaya, its core innovation is the ability for a user to prove they hold a valid signature on a set of messages without revealing the signature itself or the messages' contents. This property, known as signature possession proof, is the foundational building block for advanced privacy systems like anonymous credentials and selective disclosure protocols.

The technical mechanism relies on a structure-preserving property within groups of prime order, allowing mathematical operations on the committed messages to be performed in the exponent. A prover can generate a non-interactive zero-knowledge proof (NIZK) that convinces a verifier of three things: that a signature exists, that it is valid under the issuer's public key, and that the hidden messages satisfy certain predicates. This enables powerful use cases such as proving one is over 18 from a signed credential without revealing one's birth date or any other identifying information.

CL signatures are a critical component in the architecture of privacy-focused blockchain and identity systems. They are used in anonymous credential systems like Microsoft's U-Prove and IBM's Idemix, and form the basis for privacy-preserving cryptocurrencies that require proving the validity of transactions without revealing their source or amount. Their security is based on well-established cryptographic assumptions, typically the Strong RSA assumption or assumptions in bilinear groups, making them a robust choice for real-world, high-stakes applications where user privacy is paramount.

etymology
ACADEMIC FOUNDATIONS

Etymology and Origin

The CL signature, a cornerstone of privacy-preserving cryptography, originates from a seminal 2004 academic paper that established a new paradigm for anonymous credentials and digital signatures.

The term CL signature derives directly from the surnames of its creators: Jan Camenisch and Anna Lysyanskaya. Their groundbreaking paper, 'Signature Schemes and Anonymous Credentials from Bilinear Maps,' published in 2004, introduced the cryptographic primitive. The name follows the common academic convention of naming protocols after their inventors, similar to RSA (Rivest–Shamir–Adleman) or ECDSA (Elliptic Curve Digital Signature Algorithm). The core innovation was constructing a signature scheme compatible with zero-knowledge proofs, enabling a user to prove possession of a valid signature without revealing the signature itself or its signed message.

The development of CL signatures was driven by the need for practical anonymous credential systems. Prior schemes were often inefficient or relied on complex interactive protocols. Camenisch and Lysyanskaya's work leveraged the mathematical properties of bilinear pairings (or bilinear maps) on elliptic curve groups to create a signature with a unique structure. This structure allows for the efficient generation of non-interactive zero-knowledge proofs about the signed attributes. The original construction is provably secure under the LRSW assumption (named after Lysyanskaya, Rivest, Sahai, and Wolf), a computational hardness assumption related to the Diffie-Hellman problem in bilinear groups.

The academic origin of CL signatures is firmly within the field of public-key cryptography and privacy-enhancing technologies. Their introduction provided a critical building block for systems where selective disclosure of information is paramount. The protocol's ability to support signatures on committed messages—where the signer issues a signature on a value they have not seen in plaintext—was a key breakthrough. This directly enabled real-world architectures for privacy-preserving identity management, where an issuer can credential a user's attributes without learning their values, and the user can later prove statements about those attributes to a verifier.

Following its publication, the CL signature scheme spawned significant research and practical adoption. It became the cryptographic engine for the Identity Mixer (Idemix) framework developed at IBM Zurich, which implemented a full anonymous credential system. The design pattern established by CL signatures—a signature scheme compatible with efficient zero-knowledge proofs—influenced later constructions like BBS+ signatures, which offer improved efficiency and functionality. This lineage underscores the CL signature's role as a foundational cryptographic primitive that transitioned from theoretical computer science to deployed systems in enterprise and blockchain environments.

In blockchain contexts, the etymology remains intact, but the application shifts. CL signatures are utilized in confidential transaction protocols and anonymous token systems on ledgers like Hyperledger Fabric and some zero-knowledge blockchain networks. Their value lies in enabling transactions where the asset type or amount can be cryptographically proven to be valid according to network rules without being revealed on-chain. This direct application from academic paper to distributed ledger technology highlights the enduring utility of the cryptographic principles established by Camenisch and Lysyanskaya two decades ago.

how-it-works
CRYPTOGRAPHIC PRIMITIVE

How CL Signatures Work

CL signatures are a class of advanced cryptographic schemes that enable the creation of anonymous credentials and privacy-preserving protocols by allowing a user to prove knowledge of a signature without revealing the signature or the signed message itself.

A CL signature (Camenisch-Lysyanskaya signature) is a digital signature scheme that supports efficient zero-knowledge proofs. The core innovation is that a prover can demonstrate they possess a valid signature from a specific issuer on a hidden message, without disclosing the signature's value or the message's content. This property, known as signature possession proof, is foundational for building systems that require selective disclosure of certified attributes, such as in anonymous credential systems like Microsoft's U-Prove or IBM's Idemix.

The mechanism relies on strong cryptographic assumptions, typically within bilinear groups. A signature is generated by an issuer on a set of messages (e.g., user attributes). Later, the user can create a non-interactive zero-knowledge proof (NIZK) that convinces a verifier of two things: that they hold a valid signature from the issuer, and that the hidden messages satisfy certain predicates (e.g., "age > 21"). The signature itself is never transmitted, preventing linkability across different transactions and ensuring user privacy.

Key properties of CL signatures include unforgeability, randomizability, and signature adaptation. Randomizability allows a user to derive a fresh, unlinkable signature from their original one, further enhancing privacy. The CL framework is highly flexible, supporting signatures on blocks of messages and various proof statements. This makes it a versatile tool not only for credentials but also for more complex protocols like anonymous e-cash and privacy-preserving blockchain transactions.

In practice, implementing CL signatures requires careful parameter selection and efficient proof systems like zk-SNARKs or Bulletproofs to make the non-interactive proofs succinct. While computationally more intensive than standard signatures like ECDSA, their unique privacy guarantees are essential for applications where identity and transaction data must be minimized. Their role is pivotal in advancing cryptographic systems that prioritize user control and data minimization by design.

key-features
CL SIGNATURE

Key Features

CL (Camenisch-Lysyanskaya) Signatures are a foundational cryptographic primitive enabling privacy-preserving protocols. Their unique properties make them essential for anonymous credentials and zero-knowledge applications.

01

Blind Signatures

A CL signature allows a signer to issue a signature on a committed message without learning the message's content. This is the core mechanism for creating anonymous credentials, where a user can obtain a credential (e.g., proof of age) without revealing their identity to the issuer.

  • Process: The user sends a Pedersen Commitment of their secret data to the signer.
  • Result: The signer produces a valid signature on the hidden value, which the user can later reveal and prove knowledge of.
02

Selective Disclosure

A holder of a CL signature can cryptographically prove possession of the signature and disclose only specific attributes from the signed message set, while keeping the rest hidden. This enables fine-grained, privacy-preserving authentication.

  • Example: A credential may contain {name, age, country}. The user can prove they are over 21 and from the US without revealing their exact age or name.
  • Mechanism: Uses zero-knowledge proofs to demonstrate the signature is valid for the disclosed subset.
03

Signature Aggregation

Multiple CL signatures, potentially from different issuers, can be merged into a single, compact signature. This is critical for building efficient systems where a user holds credentials from multiple sources.

  • Benefit: Reduces the proof size and computational cost when demonstrating possession of several credentials simultaneously.
  • Use Case: Proving you have a valid driver's license (issuer: DMV) and a professional certification (issuer: Board) in one combined proof.
04

Mathematical Foundation

CL signatures are built on the Strong RSA assumption or pairing-based cryptography, providing strong security guarantees. Their structure is defined over a cyclic group, allowing for the efficient proofs and transformations that enable their privacy features.

  • Core Components: The signature is a tuple (A, e, v) where e is a large prime, allowing for the blind issuance process.
  • Flexibility: The scheme can be instantiated in different cryptographic settings to optimize for proof size or verification speed.
06

Core Use Case: Anonymous Credentials

CL signatures are the cryptographic engine for anonymous credential systems like Microsoft's U-Prove and IBM's Idemix. They solve the fundamental problem of proving qualifications without creating correlatable identifiers.

  • Flow: 1) Issuance: User gets a blind signature on their attributes. 2) Presentation: User creates a zero-knowledge proof of a valid signature and discloses necessary claims.
  • Property: Provides unlinkability between different presentations of the same credential.
examples
CL SIGNATURE

Examples and Use Cases

Camenisch-Lysyanskaya (CL) signatures are a foundational cryptographic primitive enabling privacy-preserving protocols. Their unique properties facilitate anonymous credentials, selective disclosure, and efficient zero-knowledge proofs.

04

Group Signatures & Ring Signatures

CL signatures form a basis for advanced signature schemes. In group signatures, a member can sign on behalf of a group while remaining anonymous within it, with a designated manager able to reveal the signer's identity if needed. Variants of CL signatures are used to construct efficient ring signatures, where a signer can prove a signature came from a member of a set (a ring) without revealing which member.

05

E-Cash and Digital Tokens

CL signatures can create untraceable digital cash or tokens. A bank issues a CL-signed token representing a monetary value. The user can blindly sign this token for a merchant, who can verify the bank's signature without learning the token's unique identifier, preventing the bank from linking the withdrawal and spending transactions. This provides strong payer anonymity.

06

Verifiable Random Functions (VRFs)

The structure of CL signatures allows them to be adapted into Verifiable Random Functions. A secret key holder can generate a pseudorandom output and a proof that it was correctly computed. This is useful in blockchain consensus mechanisms (e.g., for leader election) and proof-of-personhood systems, where a unique, non-transferable output must be generated from a credential.

ecosystem-usage
CL SIGNATURE

Ecosystem Usage

Camenisch-Lysyanskaya (CL) signatures are a core cryptographic primitive enabling privacy-preserving credentials and anonymous attestation on blockchains, particularly within the Zero-Knowledge (ZK) ecosystem.

01

Anonymous Credentials

CL signatures form the backbone of anonymous credential systems. They allow a user to prove they possess a valid credential (e.g., a KYC attestation or proof-of-age) issued by an authority, without revealing the credential itself or any other identifying information. This enables selective disclosure of attributes.

  • Key Property: Unlinkability – multiple uses of the same credential cannot be linked together.
  • Example: Proving you are over 18 from a government ID without revealing your name or birth date.
02

Zero-Knowledge Proofs (ZKPs)

CL signatures are a succinct signature scheme that can be efficiently used within Zero-Knowledge Proofs. The signature acts as a committed value that can be proven about in a ZK circuit.

  • Integration: The signature's structure allows it to be seamlessly embedded in proof systems like Groth16 or PLONK.
  • Use Case: Creating a ZK proof that states, "I possess a valid CL-signed credential where attribute X=Y," without revealing the signature or other attributes.
03

Identity & Access Management

Used in decentralized identity (DID) protocols and access control systems. CL signatures enable privacy-focused authentication where users can prove membership or authorization without a persistent on-chain identifier.

  • Decentralized Identifiers (DIDs): Can sign claims associated with a DID in a privacy-preserving manner.
  • Gated Access: Granting access to a dApp or service based on certified attributes (e.g., proof of unique humanity, accredited investor status) while preserving user anonymity.
04

Blockchain Scaling & Rollups

Employed in ZK-Rollups and validity proofs to efficiently verify the correctness of off-chain transactions. CL signatures can aggregate or batch proofs of state transitions where user identity must remain private.

  • Scalability: The small proof size of statements about CL signatures reduces on-chain verification cost.
  • Privacy-Preserving Rollups: Enables transaction types where users interact based on private credentials verified by the rollup's ZK circuit.
05

Token Standards & Asset Issuance

Facilitates the creation of privacy-enhanced tokens and assets with embedded compliance. An issuer can sign tokens with attributes (e.g., region-locked, non-transferable) that holders can later prove in a private transaction.

  • Compliant Assets: Enables regulatory features without sacrificing on-chain privacy for the end-user.
  • Example: A security token where ownership is recorded, but trades can privately prove the seller is accredited and the buyer is in a permitted jurisdiction.
06

Key Cryptographic Property: Re-randomization

A defining feature of CL signatures is re-randomization. A user can take a valid signature and, without the secret key, create a new, unlinkable signature on the same message. This is crucial for anonymity.

  • How it works: Uses mathematical operations to change the signature's randomness while preserving its validity.
  • Ecosystem Impact: This property directly enables the unlinkability required for anonymous credentials and repeated, private proof presentations.
CRYPTOGRAPHIC PROPERTIES

Comparison with Other Signature Schemes

A technical comparison of Camenisch-Lysyanskaya (CL) signatures against other common digital signature schemes, focusing on privacy, functionality, and cryptographic assumptions.

Feature / PropertyCL SignaturesECDSA / EdDSABLS Signatures

Signature Aggregation

Selective Disclosure

Zero-Knowledge Proofs

Post-Quantum Security

Signature Size

~1-2 KB

64-96 bytes

48-96 bytes

Primary Use Case

Anonymous Credentials, ZKPs

General Authentication

Threshold Crypto, Consensus

Cryptographic Assumption

Strong RSA or L-attices

Discrete Log (EC)

Pairing-Friendly Curves

security-considerations
CL SIGNATURE

Security Considerations

CL signatures (Camenisch-Lysyanskaya) are a foundational cryptographic primitive for privacy-preserving protocols. Their security properties are critical for applications like anonymous credentials and confidential transactions.

01

Zero-Knowledge Proof Foundation

The core security of CL signatures stems from their ability to generate zero-knowledge proofs of possession. A user can prove they hold a valid signature on a set of hidden messages without revealing the signature or the messages themselves. This enables:

  • Selective disclosure: Proving specific attributes from a credential.
  • Unlinkability: Multiple proofs from the same credential cannot be linked together.
  • Strong privacy guarantees for anonymous authentication systems.
02

Underlying Assumption: LRSW

CL signature security is formally proven under the LRSW assumption (named after Lysyanskaya, Rivest, Sahai, and Wolf). This is a computational hardness assumption in groups with a bilinear map (pairing-friendly elliptic curves). It states that, given a group generator and an oracle that produces signatures on adaptively chosen messages, it is computationally infeasible to forge a signature on a new message. This assumption is the bedrock preventing signature forgery.

03

Blinding & Unforgeability

A key feature is blind issuance. A user can present a blinded commitment of their messages to a signer, who produces a signature on the commitment. The user can then 'unblind' this to obtain a regular CL signature on the original messages. Crucially, the signer never learns the messages, and the process maintains existential unforgeability under adaptive chosen-message attacks (EUF-CMA), meaning an adversary cannot create a valid signature for any new message.

04

Implementation Risks & Side-Channels

Theoretical security relies on correct implementation. Critical risks include:

  • Randomness failures: Insecure random number generation during signature creation or proof generation can leak private keys.
  • Side-channel attacks: Timing or power analysis on devices (like hardware wallets) performing the pairing operations or modular exponentiations.
  • Parameter selection: Using non-standard or poorly vetted elliptic curve groups can introduce vulnerabilities. Audited libraries (like libsignal, zksnark suites) are essential.
05

Privacy vs. Regulatory Compliance

While CL signatures provide strong anonymity, this creates tension with regulatory frameworks like Travel Rule (FATF) or KYC. Systems using them must architect privacy-enhancing compliance techniques, such as:

  • Zero-knowledge KYC proofs: Proving membership in a sanctioned whitelist.
  • Auditor escrow keys: Designated entities can, under legal order, decrypt transaction details.
  • View keys: Users can delegate selective viewing rights. The cryptography enables compliance without default surveillance.
06

Related Cryptographic Primitives

CL signatures are often compared and combined with other advanced primitives:

  • BLS Signatures: Also use pairings, but for aggregation; CL focuses on hiding message content.
  • RSA Blind Signatures: Older blind signature scheme; CL is more efficient for multiple messages and proofs.
  • zk-SNARKs/STARKs: CL signatures can be used as a trusted setup for credential issuance, with the proofs executed in a zk circuit for more complex statements. Understanding these relationships is key for secure system design.
CL SIGNATURE

Common Misconceptions

Camenisch-Lysyanskaya (CL) signatures are a foundational cryptographic primitive for privacy-preserving credentials. This section clarifies frequent misunderstandings about their properties and applications in blockchain systems.

No, a CL signature is a specific type of digital signature scheme that enables the creation of zero-knowledge proofs, but it is not a proof itself. A CL signature is a cryptographic commitment to a set of messages. Its power lies in allowing a prover to generate a zero-knowledge proof of knowledge (ZKPoK) that they possess a valid signature on hidden messages, without revealing the signature or the messages. Think of the CL signature as the signed credential, and the ZKPoK as the mechanism for selectively disclosing properties about that credential.

CRYPTOGRAPHIC PRIMITIVE

Technical Details

Camenisch-Lysyanskaya (CL) signatures are a foundational cryptographic building block for privacy-preserving protocols, enabling the creation of anonymous credentials and zero-knowledge proofs without revealing underlying data.

A Camenisch-Lysyanskaya (CL) signature is a digital signature scheme that allows a signer to produce a signature on a commitment to a set of messages, rather than on the plain messages themselves. This core property enables powerful privacy features, as the signer does not learn the actual values being signed, and the signature holder can later prove possession of a valid signature for committed values in zero-knowledge. It is a cornerstone of anonymous credential systems like IBM's Idemix and is used in blockchain protocols such as Zcash for constructing zk-SNARKs.

Key Properties:

  • Blind Signing: The signer issues a signature on hidden, committed messages.
  • Selective Disclosure: The signature holder can prove specific attributes from the signed set without revealing others.
  • Unlinkability: Multiple showings of the same credential cannot be linked together.
CL SIGNATURE

Frequently Asked Questions (FAQ)

A CL Signature is a cryptographic primitive enabling privacy-preserving authentication. This FAQ addresses its core mechanisms, applications, and differences from other signature schemes.

A CL Signature (Camenisch-Lysyanskaya signature) is a cryptographic signature scheme that allows a user to prove they possess a valid signature on a set of messages without revealing the signature or the messages themselves. It works by using zero-knowledge proofs to demonstrate knowledge of the signature and committed message values. This enables selective disclosure, where a user can prove specific statements about the signed data (e.g., "I am over 18") while keeping all other data private. It is a foundational building block for anonymous credentials and privacy-preserving protocols.

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