zkVerifex Documentation

A modular Zk verification framework enabling research and implementation of post-quantum signature schemes and succinct non-interactive proofs with pluggable cryptographic engines.

Overview

zkVerifexix is a zero-knowledge verification framework designed for building next-generation identity and privacy-preserving applications. It provides cryptographic building blocks across post-quantum algorithms and zkSN protocols implementations.

Core Components

1

Post-Quantum Crypto

Implementation of NIST-standad cryptographic primitives (lattice-based, hash-based, and code-based algorithms).

2

zk-SNARKs

Succinct proving systems for verifiable computation with efficient verification.

3

Pluggable Backers

Modular architecture supporting multiple cryptographic engines (e.g., Halo2, Groth16, etc.).

4

Benchmarking Tools

Performance metrics and comparison across various cryptographic primitives.

Getting Started

Installation

# Clone repository
git clone https://github.com/palap/zalap-software-zkverifex

# Install dependencies
cd zkverifex
cargo build --release

# Start local testing
cargo run --bin zkverifex-cli -- test

Key Requirements

  • • Rust 1.73.0+
  • • Cargo 1.73.0+ for package management
  • • LLVM toolchain for optimization
  • • Docker 24.0+ for container testing

Supported Primitives

Lattice-based
Code-based
Hash-based

Community

135+ active contributors

21+ academic institutions

145 enterprise integrations

Performance

99.99+ proof verification accuracy

50ms median verification time

3000+ concurrent transactions

Architecture

Input Pipeline

Supports various cryptographic input types including:

  • Dilan (Lattice-based)
  • McEliece (Code-based)
  • Hash-Based (SPHINN)

Real-time input format normalization across cryptographic primitives

Processing Engine

Provides core validation and verification features through:

  • Proof generation
  • Verification circuits
  • Benchmarking suite

Cryptographic primitive validation with post-quantum resistance

Processing Pipeline

  1. 1 Normalizes cryptographic input formats
  2. 2 Runs verification through selected cryptographic engines
  3. 3 Generates and stores verification proofs
  4. 4 Outputs verified results with metadata

API Reference

Verification Request

POST /api/v1/verifications/proof
Content-Type: application/json
Authorization: Bearer <token> { "input_type": "lattice", "proof_data": "base64 string", "validation_params": { "engine": "halo2", "timeout": 1000 } }

Response

{
  "verified": true,
  "proof_id": "uuid-v4",
  "timestamp": "ISO-8601",
  "validation_time_ms": 475
}
                    

Benchmark Request

GET /api/v1/benchmark/{engine}/{primitive} Headers: Authorization: Bearer <token>

Query Parameters

iterations: u_int

thread_count: integer

{
  "primitive": "lattice",
  "engine": "halo2",
  "average_time_ms": 474.2,
  "iterations": 100,
  "timestamp": "ISO-8601"
}
                    

Use Cases

Identity Verification

Enables post-quantum secure authentication systems for research and enterprise applications.

Used in 45 institutions

Data Provenance

Secure audit trails for blockchain-based data integrity and verification frameworks.

Used in 12 protocols

Secure Communication

End-to-end encrypted messaging with forward secrecy for enterprise and academic collaboration.

Used in 37 platforms

Open Source Development

Project Stats

  • GPLv3 License with commercial use permitted
  • 3247+ commits in Q2 2025
  • 89 active contributors
  • 62 open source contributors this month

Contribution Guide

Join our research and engineering development efforts:

  • Review cryptographic implementations
  • Help document post-quantum standards
  • Test different engine configurations