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-0.2.3.tar.gz (70.3 kB view details)

Uploaded Source

Built Distribution

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

uhg-0.2.3-py3-none-any.whl (38.8 kB view details)

Uploaded Python 3

File details

Details for the file uhg-0.2.3.tar.gz.

File metadata

  • Download URL: uhg-0.2.3.tar.gz
  • Upload date:
  • Size: 70.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for uhg-0.2.3.tar.gz
Algorithm Hash digest
SHA256 00cf25afa127630c727b3961820b6db87b3eeeb933346dd6885ecf73cd8f4d67
MD5 4c71a460f63be0376944921c7b65b241
BLAKE2b-256 32b538a4e47d974999303e607754c372917569532db12b48fde985fa02add461

See more details on using hashes here.

File details

Details for the file uhg-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: uhg-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 38.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for uhg-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7cc0970e3dcadc6d73c0aa9f0ffca8f216b8f1ace052bf696916c363fc64ab15
MD5 33c839c132a931013cc20f711753b649
BLAKE2b-256 9ca3b44ee13d937b3135455cbf16d0846df153c761e0f103793545bd42c3a87d

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