@docknetwork/crypto-wasm

crypto-wasm

This repository is a WASM wrapper over Dock's Rust crypto library and is home to

• BBS+, a performant multi-message digital signature algorithm implementation which supports deriving zero knowledge proofs that enable selective disclosure from the originally signed message set.
• bilinear map, positive and universal accumulators supporting single and batch updates to the accumulator and witness
• composite proof system that lets you combine BBS+ signatures, accumulators and Schnorr protocols

This project started as fork of @mattrglobal/bbs-signatures but now only borrows the WASM setup; the API is quite different.

This repo contains a thin wrapper over the Rust code and exposes free floating JS functions. For a Typescript wrapper with better abstractions, check this.

Overview

Following is a conceptual explanation of the primitives. For the API, check the tests.

BBS+ Signatures

BBS+ signature allow for signing an ordered list of messages, producing a signature of constant size independent of the number of messages. The signer needs to have a public-private keypair and signature parameters which are public values whose size depends on the number of messages being signed. A verifier who needs to verify the signature needs to know the signature parameters used to sign the messages and the public key of the signer.
BBS+ signature also allow a user to request a blind signature from a signer where the signer does not know 1 or more messages from the list. The user can then unblind the blind signature to get a regular signature which can be verified by a verifier in the usual way. Such blind signatures can be used to hide a user specific secret like a private key or some unique identifier as a message in the message list and the signer does not become aware of the hidden message.
With a BBS signature, a user in possession of the signature and messages and create a zero-knowledge proof of knowledge of the signature and the corresponding signed messages such that he can prove to a verifier that he knows a signature and the messages and optionally reveal one or more of the messages.
A typical use of BBS+ signatures looks like:

• Signature parameters of the required size are assumed to exist and published at a public location. The signer can create his own or reuse parameters created by another party.
• Signer public-private keypair and publishes the public key. The keypair can be reused for signing other messages as well.
• User requests a signature from the signer.
• Signer signs the message list using the signature parameters and his private key.
• User verifies the signature on the message list using the signature parameters and signer's public key
• User creates a proof of knowledge of the signature and message list and optionally reveals 1 or more messages to the verifier.
• The verifier uses the signature parameters and signer's public key to verify this proof. If successful, the verifier is convinced that the user does have a signature from the signer and any messages revealed were part of the message list signed by the signer.

Accumulator

An accumulator is a "set like" data-structure in which elements can be added or removed but the size of the accumulator remains constant. But an accumulator cannot be directly checked for presence of an element, an element needs to have accompanying data called the witness (its the manager's signature on the element), the element and the witness and these together can be used to check the presence or absence of the element. An accumulator can be considered similar to the root of the merkle tree where the inclusion proof is the witness of the element (non-membership proofs aren't possible with simple merkle trees). As with merkle trees, as elements are added or removed from the accumulator, the witness (inclusion proof) needs to be updated for the current accumulated value (root).
2 kinds of accumulators are provided, positive and universal. Positive support only membership witnesses while universal support both membership and non-membership witnesses. Creating non-membership witnesses is expensive however and the cost depends on the number of members present in the accumulator. Both accumulators are owned by an accumulator manager who has the private key to the accumulator and only the owner can add or remove elements or create witnesses using the accumulator.
Accumulator allows proving membership of the member (or non-member) and the corresponding witness in zero knowledge meaning a user in possession of an accumulator member (or non-member) and the witness can convince a verifier that he knows of an element present (or absent) in the accumulator without revealing the element or the witness. Note, the like merkle trees, witnesses (inclusion proof) are tied to the accumulated value (root) and need to be updated as accumulator changes.
Witnesses can be updated either by the accumulator manager using his private key or the manager can publish witness update information and the updates (additions and removals) and users can update their witnesses. A typical use of accumulator looks like:

• Accumulator parameters are assumed to exist and published at a public location. The manager can create his own params or reuse existing ones.
• Accumulator manager creates a keypair and publishes the public key.
• Accumulator manager initializes the accumulator and publishes the accumulator.
• User requests an element to be added to the accumulator and the membership witness from the manager. The user could have also requested a non-membership witness for an absent element.
• Signer checks whether requested element is not already present (in his database) and adds the element to the accumulator if not already present. He publishes the new accumulator and creates a (non)membership witness and sends to the user.
• User verifies the (non)membership using the element, the witness, the new accumulated value and the accumulator params and signer's public key.
• To prove knowledge of (non)membership in zero knowledge, user and verifier agree on a proving key. Anyone can generate this.
• User can create a proof of knowledge of the element and the witness corresponding to the accumulator.
• Verifier can verify above proof using the current accumulator, the parameters and signer's public key and is convinced that the user knows of an element and its witness and the (non)-membership.

Verifiable encryption

Allow a verifier to check that the plaintext satisfies some properties, and it correctly encrypted for a specified public key without learning the plaintext itself. This is implemented using a protocol called SAVER.

Bound check

Allow a verifier to check that some message satisfies given bounds min and max, i.e. min <= message <= max without learning the message itself. This is implemented using a protocol called LegoGroth16, a protocol described in the SNARK framework Legosnark

Composite proofs

The above primitives can be combined using the composite proof system. An example is (in zero knowledge) proving knowledge of 2 different signatures and the message lists. Another example is proving knowledge of the signature and messages and certain message's presence (absence) in an accumulator. Or the knowledge of 5 signatures and proving certain message is the same in the 5 message lists.

DKG from FROST

Threshold BBS+ and BBS

Getting started

To use this package within your project simply run

npm install @docknetwork/crypto-wasm

Or with Yarn

yarn add @docknetwork/crypto-wasm

See the sample directory for a runnable demo's.

The following is a short sample on how to use the API

Element Size

Within a digital signature there are several elements for which it is useful to know the size, the following table outlines the general equation for calculating element sizes in relation to BBS+ signatures as it is dependent on the pairing friendly curve used.

Element	Size Equation
Private Key	F
Public Key	G2
Signature	G1 + 2*F
Proof	5*G1 + (4 + no_of_hidden_messages)*F

• F A field element
• G1 A point in the field of G1
• G2 A point in the field of G2
• no_of_hidden_messages The number of the hidden messages

This library includes specific support for BLS12-381 keys with BBS+ signatures and hence gives rise to the following concrete sizes

Element	Size with BLS12-381
Private Key	32 Bytes
Public Key	96 Bytes
Signature	112 Bytes
Proof	368 + (no_of_hidden_messages)*32 Bytes

Getting started as a contributor

The following describes how to get started as a contributor to this project

Prerequisites

The following is a list of dependencies you must install to build and contribute to this project

• Yarn
• Rust

For more details see our contribution guidelines

Install

To install the package dependencies run:

yarn install --frozen-lockfile

Build

To build the project for debug, run:

yarn build

To build the project for release, run:

yarn build:release

To build the project for profiling (slower to build, faster to run), run:

yarn build:profiling

Test

To run the all test in the project run:

yarn test

To run just the tests for a node environment using the wasm module run:

yarn test:wasm

Before running the JS tests, build the project with yarn build.

To run just the tests for a browser environment run:

yarn test:browser

Above runs the Rust tests here. To run specific modules, use following wasm-pack command and pass the test module name. Eg. for running accumulator tests, run:

wasm-pack test --headless --chrome -- --test accumulator

For BBS+, run:

wasm-pack test --headless --chrome -- --test bbs_plus

For accumulator, run:

wasm-pack test --headless --chrome -- --test accumulator

Some tests take long (few minutes) to run and to prevent timeout of such tests, set env variable WASM_BINDGEN_TEST_TIMEOUT to the number of seconds for the timeout. eg. the following sets the timeout to 360 seconds, i.e. 6 minutes

WASM_BINDGEN_TEST_TIMEOUT=360 wasm-pack test --headless --chrome

It's better to run tests in release mode since debug mode takes a long time. Increasing the timeout helps as well as shown below.

WASM_BINDGEN_TEST_TIMEOUT=360 wasm-pack test --release --headless --chrome

Benchmark

To benchmark the implementation locally in a node environment using the wasm module run:

yarn benchmark:wasm

Usage

Since loading WASM is an async process, before any function can be used initializeWasm should be called and resolved which loads WASM.

Example of using BBS+ signature

import {
  bbsPlusGenerateSignatureParamsG1, bbsPlusGeneratePublicKeyG2, bbsPlusGenerateSigningKey, bbsPlusSignG1, bbsPlusVerifyG1, 
  bbsPlusInitializeProofOfKnowledgeOfSignature, bbsPlusGenProofOfKnowledgeOfSignature, bbsPlusVerifyProofOfKnowledgeOfSignature, 
  bbsPlusChallengeContributionFromProtocol, bbsPlusChallengeContributionFromProof, generateChallengeFromBytes, 
  initializeWasm
} from "../../../lib";

const stringToBytes = (str: string) => Uint8Array.from(Buffer.from(str, "utf-8"));

const main = async () => {
    // Load the WASM module
    await initializeWasm();

    // Generate some random messages
    const messages = [
        Uint8Array.from(Buffer.from("message1", "utf8")),
        Uint8Array.from(Buffer.from("message2", "utf8")),
        Uint8Array.from(Buffer.from("message3", "utf8")),
    ];

  const label = stringToBytes("test-params");
  const messageCount = messages.length;

  // Generate params deterministically using a label
  const sigParams = bbsPlusGenerateSignatureParamsG1(messageCount, label);
  console.log('params is', sigParams);

  // Generate a new key pair
  const sk = bbsPlusGenerateSigningKey();
  const pk = bbsPlusGeneratePublicKeyG2(sk, sigParams);
  console.log("Key pair generated");
  console.log(
    `Public key base64 = ${Buffer.from(pk).toString("base64")}`
  );

  console.log("Signing a message set of " + messages);

  // Create the signature
  const signature = bbsPlusSignG1(messages, sk, sigParams, true);
  console.log(
    `Output signature base64 = ${Buffer.from(signature).toString("base64")}`
  );

  // Verify the signature
  const isVerified = bbsPlusVerifyG1(messages, signature, pk, sigParams, true);
  const isVerifiedString = JSON.stringify(isVerified);
  console.log(`Signature verified ? ${isVerifiedString}`);

  // Derive a proof from the signature revealing the first message
  const revealed = new Set<number>();
  revealed.add(0);
  const revealedMsgs = new Map();
  revealedMsgs.set(0, messages[0]);
  
  const protocol = bbsPlusInitializeProofOfKnowledgeOfSignature(
      signature,
      sigParams,
      messages,
    new Map(),
      revealed,
      true
  );

  const challengeProver = generateChallengeFromBytes(bbsPlusChallengeContributionFromProtocol(protocol, revealedMsgs, sigParams, true));
  const proof = bbsPlusGenProofOfKnowledgeOfSignature(protocol, challengeProver);

  console.log(`Output proof base64 = ${Buffer.from(proof).toString("base64")}`);

  // Verify the created proof
  const challengeVerifier = generateChallengeFromBytes(bbsPlusChallengeContributionFromProof(proof, revealedMsgs, sigParams, true));
  const isProofVerified = bbsPlusVerifyProofOfKnowledgeOfSignature(
    proof,
      revealedMsgs,
    challengeVerifier,
    pk,
    sigParams,
    true,
  );
  const isProofVerifiedString = JSON.stringify(isProofVerified);
  console.log(`Proof verified ? ${isProofVerifiedString}`);
};

main();

See the tests for more thorough examples.

Dependencies

This library uses the creates defined in Dock's crypto library which is then wrapped and exposed in javascript/typescript using Web Assembly.

Security Policy

Please see our security policy for additional details about responsible disclosure of security related issues.

Relevant References

For those interested in more details, you might find the following resources helpful

• BLS12-381 For The Rest Of Us
• Pairing-based cryptography
• Exploring Elliptic Curve Pairings
• Anonymous Attestation Using the Strong Diffie Hellman Assumption Revisited
• Pairing Friendly Curves
• BBS+ signature defined in Anonymous Attestation Using the Strong Diffie Hellman Assumption Revisited
• Dynamic accumulator defined in Dynamic Universal Accumulator with Batch Update over Bilinear Groups
• Verifiable encryption using SAVER
• LegoGroth16, described in the appending H.5 of the Legosnark paper

To build, use

BUILD_MODE=DEBUG ./scripts/build-package.sh 

or

BUILD_MODE=RELEASE ./scripts/build-package.sh 

or

BUILD_MODE=PROFILING ./scripts/build-package.sh 

To run jest tests, build with target nodejs as wasm-pack build --out-dir lib --target nodejs