Skip to main content

Universal Hyperbolic Geometry library using pure projective operations

Project description

Universal Hyperbolic Geometry (UHG) Library

A pure implementation of Universal Hyperbolic Geometry using projective operations, optimized for cybersecurity applications.

Features

Core Features

  • Pure projective geometry implementation
  • No differential geometry or manifold assumptions
  • Cross-ratio preservation throughout
  • Numerically stable operations

Advanced Features

  • UHG Metric Learning
  • Multi-head Attention Mechanism
  • Threat Correlation Engine
  • Pattern Recognition
  • Anomaly Detection

Cybersecurity Applications

  • Network Traffic Analysis
  • System Event Correlation
  • Behavioral Pattern Detection
  • Threat Intelligence Integration
  • Zero-Day Attack Detection

Installation

Basic installation:

pip install uhg

With security features:

pip install uhg[security]

With visualization tools:

pip install uhg[viz]

Quick Start

from uhg import (
    ProjectiveUHG,
    UHGMultiHeadAttention,
    ThreatCorrelation
)

# Initialize threat correlation
correlation = ThreatCorrelation(
    feature_dim=8,
    num_heads=4
)

# Create indicators
indicators = [
    ThreatIndicator(
        ThreatIndicatorType.NETWORK,
        value="suspicious_pattern",
        confidence=0.9,
        context={
            "port": 443,
            "protocol": "TCP",
            "bytes_out": 1024
        }
    ),
    ThreatIndicator(
        ThreatIndicatorType.SYSTEM,
        value="malicious_process",
        confidence=0.85,
        context={
            "pid": 1234,
            "memory_usage": 50000,
            "api_calls": 15
        }
    )
]

# Analyze relationships
groups = correlation.get_correlation_groups(indicators)
relationships = correlation.analyze_indicator_relationships(indicators)

Documentation

Full documentation is available at uhg.readthedocs.io.

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uhg-0.2.5.tar.gz (78.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

uhg-0.2.5-py3-none-any.whl (47.7 kB view details)

Uploaded Python 3

File details

Details for the file uhg-0.2.5.tar.gz.

File metadata

  • Download URL: uhg-0.2.5.tar.gz
  • Upload date:
  • Size: 78.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for uhg-0.2.5.tar.gz
Algorithm Hash digest
SHA256 889fcbd9d8ec41dcc301224e02203c0964321c670879ff150150ebd79764bb8a
MD5 8b887ae3c2cc19e481e7c230fb498e0f
BLAKE2b-256 f951245dcad689fa20539e4f9dd4b9cf40a31d7d9c18c587a899b5902023bf6d

See more details on using hashes here.

File details

Details for the file uhg-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: uhg-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 47.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for uhg-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 513b137fdb9298aaf87db6a4c3f0ca8e4ac6320a76a167b74cc080ba2bb72707
MD5 c283d1b1accd7027a485b22d1d7fa067
BLAKE2b-256 a0ac62cf1dd068f1cb2da68b69f2a66d1b6ca1a4a432479616f50e3c5a3f7faf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page