Paradox RVE-KDE v1.0.2
Paradox RVE-KDE v1.0.2
Release Overview
Paradox (Recursive Visual Entropy Key Derivation Engine - RVE-KDE) is an experimental image-driven cryptographic key derivation framework that generates deterministic cryptographic keys through recursive visual entropy extraction and multi-layer image traversal.
Version 1.0.2 focuses on packaging improvements, documentation enhancements, release engineering refinements, and ecosystem readiness for public distribution through PyPI and GitHub.
Highlights
Published on PyPI
Paradox is now available as a public Python package:
pip install paradox-rvekdeRecursive Visual Entropy Engine
- Deterministic image-based entropy extraction
- Multi-layer recursive traversal
- Hash-chain driven coordinate evolution
- Configurable security levels
- Nonce-based reproducibility
Cryptographic Support
- AES-256-GCM
- ChaCha20-Poly1305
- HKDF-based key derivation
- BLAKE3 integration
Research Validation
Paradox has undergone extensive validation and benchmarking including:
-
46 automated unit tests
-
Entropy analysis
-
Avalanche effect testing
-
Collision analysis
-
Randomness evaluation
-
Comparative benchmarking against:
- PBKDF2
- HKDF
- Argon2id
- BLAKE3-KDF
Benchmark Highlights
- Avalanche Effect: ~50.08%
- Shannon Entropy: ~7.999/8
- Collision Rate: 0% (observed during benchmark runs)
- Near-uniform bit distribution
- Deterministic key generation behavior
Documentation
This release includes:
- Professional README
- Security Policy
- Contribution Guidelines
- Research Documentation
- Benchmark Reports
- Citation Metadata
- Release Engineering Documentation
Known Limitations
Paradox is currently implemented in Python and prioritizes research experimentation over production performance.
The framework is significantly slower than traditional KDFs such as HKDF, PBKDF2, Argon2id, and BLAKE3 due to image processing and recursive traversal operations.
Research Disclaimer
Paradox is an experimental research-oriented key derivation framework and should not be considered a replacement for established cryptographic standards such as Argon2, PBKDF2, HKDF, or BLAKE3.
Future Roadmap
- Advanced adversarial image testing
- Expanded cryptanalysis suite
- Performance optimization
- Native Rust acceleration
- Additional entropy extraction strategies
- Academic publication and peer review
Links
PyPI:
https://pypi.org/project/paradox-rvekde/
Repository:
https://github.com/chiragferwani/paradox
Thank you for exploring Paradox and contributing to its development.