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Glossary

Minimal Disclosure

Minimal Disclosure is a core privacy principle in decentralized identity systems where a credential holder reveals only the minimum amount of information necessary to satisfy a verifier's request.
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definition
PRIVACY PRINCIPLE

What is Minimal Disclosure?

A core tenet of privacy-enhancing technologies that limits data sharing to the bare minimum necessary for a specific transaction or verification.

Minimal disclosure is a privacy-by-design principle that dictates only the absolute minimum amount of personal data should be revealed to complete a transaction or prove a claim. In digital systems, this means moving beyond the all-or-nothing sharing of raw credentials (like showing your entire driver's license to prove your age) to sharing only a cryptographically verifiable proof of a specific attribute (e.g., "I am over 21"). This principle is foundational to self-sovereign identity (SSI) and zero-knowledge proofs (ZKPs), where the goal is to verify a statement's truth without exposing the underlying data that proves it.

The mechanism relies on selective disclosure and cryptographic techniques. For instance, using verifiable credentials, a user can present a proof derived from a credential issued by a trusted authority. The verifier can cryptographically confirm the proof's validity and that it pertains to the required attribute—such as citizenship, account balance, or professional accreditation—without learning any other information stored in the credential. This stands in stark contrast to traditional methods where presenting a document inevitably discloses extraneous information like full name, address, or ID number.

In blockchain and decentralized systems, minimal disclosure is critical for compliance with regulations like GDPR, which enshrines the principle of data minimization. Applications include private voting, where one proves eligibility without revealing identity; anonymous token transfers that prove sufficient balance without exposing the wallet's total holdings; and access control systems that grant entry based on a role or membership proof. By minimizing the attack surface and data footprint, this principle reduces the risk of identity theft, profiling, and mass surveillance.

Implementing minimal disclosure often involves a trade-off between privacy, performance, and complexity. Zero-knowledge Succinct Non-Interactive Arguments of Knowledge (zk-SNARKs) and other advanced cryptography enable these minimal proofs but can be computationally intensive. The ecosystem is evolving with standards from the World Wide Web Consortium (W3C) for verifiable credentials and decentralized identifiers (DIDs), which provide the interoperable framework needed for minimal disclosure to function at scale across different platforms and organizations.

etymology
CONCEPTUAL FOUNDATIONS

Origin and Etymology

The principle of Minimal Disclosure is a core tenet of digital identity and privacy, rooted in decades of cryptographic and legal thought. This section traces its evolution from abstract concept to a foundational protocol in decentralized systems.

The term Minimal Disclosure originates from the broader legal and data protection principle of data minimization, which mandates that only the data necessary for a specific purpose should be collected and processed. In the context of digital credentials, it was formally articulated by cryptographers and identity researchers like David Chaum and the Identity Commons community in the early 2000s. The concept evolved from Chaum's pioneering work on anonymous credentials and selective disclosure, which provided the mathematical basis for proving specific attributes without revealing the entire credential or the holder's underlying identity.

The etymology reflects its technical imperative: minimal (the least amount) and disclosure (the act of making information known). It stands in direct opposition to the prevailing model of data aggregation, where services typically request and store excessive personal information. In blockchain and zero-knowledge proof (ZKP) ecosystems, Minimal Disclosure is operationalized through protocols like zk-SNARKs and zk-STARKs, enabling a user to prove they are over 18 from a driver's license credential without revealing their birth date, name, or address. This shift moves the locus of control from the verifier back to the individual, the credential holder.

The adoption of Minimal Disclosure as a key design goal was catalyzed by the Decentralized Identity (DID) movement and frameworks like the W3C Verifiable Credentials data model. It answers critical needs in regulatory compliance, such as the GDPR's data minimization requirement, and in trustless systems where privacy is paramount. Today, it is a non-negotiable feature of self-sovereign identity (SSI) systems and privacy-preserving blockchains, ensuring that interactions—whether proving financial solvency for a loan or membership for access—reveal only what is absolutely required.

key-features
MINIMAL DISCLOSURE

Key Features and Principles

Minimal Disclosure is a core principle of privacy-preserving systems, where only the absolute minimum amount of information necessary to complete a transaction or verify a claim is revealed. It is foundational to technologies like Zero-Knowledge Proofs (ZKPs) and Decentralized Identity.

01

Core Principle

Minimal Disclosure is the design principle that a system should reveal the least amount of information required to satisfy a specific request. For example, proving you are over 21 without revealing your exact birthdate, or proving you have sufficient funds for a transaction without disclosing your total balance. This reduces data exposure and attack surface.

02

Zero-Knowledge Proofs (ZKPs)

ZKPs are the primary cryptographic tool enabling Minimal Disclosure. They allow a prover to convince a verifier that a statement is true without revealing any information beyond the validity of the statement itself. This is used in blockchain scaling (zk-Rollups) and private transactions to validate state changes without exposing underlying data.

03

Selective Disclosure

A specific application of Minimal Disclosure, often used in Verifiable Credentials (VCs). It allows a holder to present a credential and reveal only specific, chosen attributes. For instance, a digital driver's license could disclose only your name and photo for age verification, while withholding your address and license number.

04

Data Minimization

This is the regulatory and ethical counterpart to the technical principle. Frameworks like GDPR enforce data minimization, requiring that personal data collected is adequate, relevant, and limited to what is necessary. Minimal Disclosure provides the technical means to achieve this legal requirement by design.

05

Contrast with Traditional Systems

Traditional systems often operate on full disclosure. To log in, you give a service your full password; to prove eligibility, you submit an entire document. This creates honeypots of sensitive data. Minimal Disclosure architectures shift this paradigm, moving from sharing data to proving properties of that data.

06

Implementation Challenges

Achieving true Minimal Disclosure involves trade-offs:

  • Computational Overhead: ZKPs require significant computation to generate and verify.
  • Complexity: Designing systems that correctly abstract and prove specific claims is non-trivial.
  • Trust Assumptions: The security of the entire system depends on the correct implementation of the cryptographic primitives and the integrity of the initial setup (trusted setup).
how-it-works
PRIVACY PRINCIPLE

Minimal Disclosure

A core privacy-enhancing principle in cryptography and identity management that dictates only the minimum necessary information should be revealed to complete a transaction or verify a claim.

Minimal disclosure is a foundational concept in zero-knowledge proofs (ZKPs) and self-sovereign identity (SSI). It ensures that during a verification process—such as proving one's age or membership—only the specific, required piece of information is shared, without exposing the underlying raw data or any extraneous details. For instance, to prove you are over 21, a system employing minimal disclosure would generate a cryptographic proof of this fact without revealing your exact birth date, driver's license number, or home address.

This principle is implemented through advanced cryptographic techniques like zk-SNARKs and zk-STARKs. These protocols allow a prover to convince a verifier that a statement is true without conveying any information beyond the validity of the statement itself. In blockchain contexts, this enables private transactions where only the transaction's validity is proven on-chain, while the amounts and participant addresses remain confidential, as seen in protocols like Zcash and Aztec.

Beyond cryptocurrencies, minimal disclosure is critical for decentralized identity. A verifiable credential can be designed to disclose only that a person's credit score is above a certain threshold, rather than the exact number. This reduces data leakage, limits the attack surface for identity theft, and enhances user privacy by preventing the correlation of activities across different services, a concept known as unlinkability.

The technical implementation often involves selective disclosure mechanisms within verifiable credentials. Here, a single cryptographic credential contains multiple claims (e.g., name, date of birth, nationality). The holder can then choose to disclose only a subset of these claims, with each disclosure cryptographically signed to prove its authenticity without revealing the undisclosed portions of the credential.

Adopting minimal disclosure presents challenges, including the computational overhead of generating zero-knowledge proofs and the complexity of designing systems that can request and process these selective proofs. However, its adoption is seen as essential for building a more privacy-respecting digital infrastructure, moving away from the current model of wholesale data collection towards one of data minimization by design.

enabling-technologies
MINIMAL DISCLOSURE

Enabling Technologies

Minimal Disclosure refers to cryptographic protocols that allow a user to prove a specific claim about their data without revealing the underlying data itself. These technologies are foundational for privacy-preserving identity and compliance in decentralized systems.

ARCHITECTURAL COMPARISON

Minimal Disclosure vs. Legacy Data Sharing

A technical comparison of data sharing paradigms, contrasting the selective, cryptographic approach of Minimal Disclosure with traditional bulk data transfer models.

Core Feature / MetricMinimal Disclosure (e.g., ZK Proofs, VCs)Legacy Data Sharing (e.g., API, Database Dump)

Data Transferred

Cryptographic proof or signed claim

Raw, full dataset

Verifiable Claims

Selective Disclosure

Data Minimization Principle

User Consent & Control

Granular, cryptographic

Broad, often binary

Verifier Data Liability

None (only verifies proof)

Full (stores raw PII)

Attack Surface for Data Breach

Cryptographic system

Entire data repository

Interoperability Standard

W3C Verifiable Credentials, ZK-SNARKs/STARKs

Proprietary API schemas, custom formats

examples
MINIMAL DISCLOSURE

Real-World Examples

Minimal Disclosure is a core principle of zero-knowledge cryptography, enabling verification of specific claims without revealing the underlying data. These examples illustrate its practical applications in blockchain and digital identity.

02

Selective KYC for DeFi

A decentralized finance (DeFi) protocol can require proof of jurisdiction compliance without exposing a user's full identity. Using a zk-SNARK, a user proves they are not from a sanctioned country and are an accredited investor, based on credentials from a KYC provider. The protocol verifies the proof, enabling access while preserving financial privacy.

03

Credit Score Range Proof

To secure a loan from a decentralized lending platform, a user can prove their credit score falls within an acceptable range (e.g., 700-850) without disclosing the exact number. This leverages range proofs, a type of ZKP, to validate the score against the lender's policy. It prevents data leakage and potential discrimination based on minor score differences.

04

Proof of Asset Ownership

An investor can demonstrate they own a specific amount of an asset (e.g., >1 BTC) or a particular NFT to qualify for a token-gated community, without revealing their entire wallet balance or transaction history. This is implemented via ZK proofs of membership in a Merkle tree of asset holders, enabling private proof-of-membership.

05

Private Voting in DAOs

In a Decentralized Autonomous Organization (DAO), members can vote on proposals while keeping their individual choices secret. Using zk-proofs of correct vote computation, a system can tally votes and prove the outcome is correct without linking any vote to a specific member's address. This ensures sybil-resistance and vote privacy, preventing coercion.

security-considerations
MINIMAL DISCLOSURE

Security and Privacy Considerations

Minimal Disclosure is a core privacy principle in decentralized systems, dictating that only the minimum amount of information necessary for a specific purpose should be revealed. This is foundational for protocols like Zero-Knowledge Proofs and selective credential presentation.

01

Core Principle

The Principle of Minimal Disclosure states that for any transaction or interaction, a user should reveal the least amount of data required to achieve the intended purpose. This reduces the attack surface, limits data leakage, and enhances user privacy by preventing unnecessary information from being collected and stored.

  • Example: Proving you are over 18 by revealing a cryptographic proof, not your full birthdate or driver's license number.
02

Zero-Knowledge Proofs (ZKPs)

Zero-Knowledge Proofs are the primary cryptographic tool enabling minimal disclosure. They allow one party (the prover) to prove to another (the verifier) that a statement is true without revealing any information beyond the validity of the statement itself.

  • Key Mechanism: A ZKP can prove knowledge of a secret, membership in a set, or correctness of a computation, while disclosing zero additional data.
  • Application: In a private transaction, a ZKP can prove you have sufficient funds without revealing your balance or transaction history.
03

Selective Disclosure

Selective Disclosure is a practical application of minimal disclosure, often used with Verifiable Credentials. It allows a user to reveal specific, granular attributes from a larger credential while keeping the rest hidden.

  • Example: A digital university diploma (a verifiable credential) contains your name, degree, and GPA. For a job application, you can cryptographically reveal only your degree and graduation date, withholding your GPA and student ID.
  • Technology: Often implemented using BBS+ Signatures or ZKPs on digital signatures.
04

Privacy vs. Compliance

Minimal disclosure architectures must balance privacy with regulatory requirements like Anti-Money Laundering (AML) and Know Your Customer (KYC). The goal is to meet compliance obligations without resorting to full data disclosure.

  • Solution Patterns: Zero-Knowledge KYC allows a user to prove they are verified by a trusted provider without revealing their identity to the dApp. Proof of Innocence models can show a wallet's funds are not from sanctioned addresses without exposing its full history.
05

Implementation Challenges

Achieving true minimal disclosure presents technical and usability hurdles.

  • Complexity: ZKP generation can be computationally intensive, requiring efficient proving systems like Groth16, PLONK, or STARKs.
  • Data Minimization Design: Systems must be architected from the ground up to avoid data collection pitfalls. Retroactive privacy is difficult.
  • Trust Assumptions: The security often relies on trusted setup ceremonies (for some ZKPs) or the honesty of credential issuers.
06

Related Concepts

Minimal disclosure is interconnected with several other privacy-enhancing technologies.

  • Decentralized Identifiers (DIDs): Provide a foundation for user-controlled identifiers that can be used with minimal disclosure credentials.
  • Homomorphic Encryption: Allows computation on encrypted data, enabling services without seeing the raw data.
  • Secure Multi-Party Computation (MPC): Enables multiple parties to jointly compute a function over their inputs while keeping those inputs private.
MINIMAL DISCLOSURE

Common Misconceptions

Clarifying frequent misunderstandings about Minimal Disclosure, a core principle of decentralized identity and verifiable credentials.

No, Minimal Disclosure is the principle of revealing the absolute minimum amount of information necessary for a specific transaction. It is the antithesis of presenting a full identity document. For example, to prove you are over 21, a system using Minimal Disclosure would generate a cryptographic proof (like a Zero-Knowledge Proof or ZK-SNARK) that verifies the statement "age > 21" is true without revealing your exact birth date, name, or address. This protects user privacy and reduces the risk of data correlation and identity theft inherent in sharing complete documents.

MINIMAL DISCLOSURE

Frequently Asked Questions

Minimal disclosure is a core privacy principle in decentralized identity and verifiable credentials. These questions address its technical implementation, benefits, and real-world applications.

Minimal disclosure is a privacy principle where a verifier receives only the specific, necessary information from a holder to complete a verification, without exposing any additional personal data. It works through cryptographic techniques like zero-knowledge proofs (ZKPs) and selective disclosure. For example, to prove you are over 21, a ZKP can cryptographically confirm the statement is true without revealing your exact birth date, name, or any other attributes stored in your verifiable credential. This is a fundamental shift from the current model of presenting entire documents (like a passport) that contain excess information.

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Minimal Disclosure: Definition & Principle in SSI | ChainScore Glossary