k-anonymity-core 1.0.0

High-performance k-anonymity and reconstruction risk engine for privacy-preserving data analysis

K-Anonymity Core

Proprietary k-anonymity and reconstruction risk engine for financial trade data.

Implementation: Rust with PyO3 bindings
Distribution: Private PyPI package
License: Proprietary - All rights reserved

Overview

This library provides privacy-preserving risk assessment for financial trades:

• k-anonymity: Measures how many records share the same quasi-identifiers
• l-diversity: Ensures diversity of sensitive attributes within equivalence classes
• t-closeness: Distribution similarity between equivalence class and overall population
• Reconstruction risk: Probability that original data can be inferred

Installation

# From private PyPI
pip install k-anonymity-core --index-url https://your-private-pypi/simple/

Quick Start

from k_anonymity_core import RiskEngineService

engine = RiskEngineService(
    k_threshold=5,
    l_threshold=3.0,
    reconstruction_threshold=0.15
)

result = engine.assess_risk({
    "asset_class": "equity",
    "sector": "financial",
    "region": "eu_regulated",
    "liquidity_tier": 2,
    "volatility_tier": 2,
    "trade_size_bucket": 2
})

if result["can_send_to_llm"]:
    print("Safe to process with LLM")
else:
    print(f"Blocked: {result['blocking_reasons']}")

Development

Prerequisites

• Docker & Docker Compose
• Rust 1.76+ (installed in Docker)
• Python 3.9+

Setup

# Start development environment
./scripts/dev.sh

# Inside container
cd rust_core
cargo build --release
cargo test
maturin develop

# Run Python tests
pytest ../python/tests/ -v

Build Wheels

./scripts/build.sh
# Wheels appear in ./dist/

Architecture

┌─────────────────────────────────────────┐
│  Python API (k_anonymity_core)          │
├─────────────────────────────────────────┤
│  PyO3 Bindings                          │
├─────────────────────────────────────────┤
│  Rust Core (compiled binary)            │
│  - k_anonymity.rs                       │
│  - l_diversity.rs                       │
│  - reconstruction.rs                    │
│  - rarity.rs                            │
│  - uniqueness.rs                        │
└─────────────────────────────────────────┘

License

This software is proprietary and confidential. Unauthorized copying, modification, distribution, or use is strictly prohibited.