Spawn Access Control

Enterprise-grade security and access control library with advanced monitoring, machine learning capabilities, and real-time threat detection for Rust applications.

Core Features

Security & Access Control

• 🔒 Role-Based Access Control (RBAC)
• 🛡️ Behavioral Pattern Analysis
• 🌍 Geo-location Based Security
• 🔍 Risk Analysis & Scoring

Machine Learning & Analytics

• 🤖 ML-Powered Anomaly Detection
• 📊 Time Series Analysis
• 🎯 Predictive Security Metrics
• 🧮 Model Explainability

Monitoring & Alerting

• 📈 Real-time Performance Monitoring
• ⚡ Prometheus Integration
• 📧 Email & Slack Notifications
• 🚨 Auto-remediation Actions

Infrastructure

• 💾 Distributed Cache Support
• 🌐 WebAssembly Compatibility
• 🚀 High Performance (7.5μs avg.)
• 🔄 Migration Support

Installation

[dependencies]
spawn-access-control = "0.1.11"

Quick Start

use spawn_access_control::{
    SecurityAnalyzer,
    AlertManager,
    MonitoringConfig,
    NotificationHandler,
};

#[tokio::main]
async fn main() -> Result<(), Error> {
    // Configure monitoring
    let config = MonitoringConfig {
        metrics_window_size: 3600,
        performance_threshold: 0.8,
        security_threshold: 0.7,
        alert_cooldown: Duration::seconds(300),
    };

    // Initialize components
    let monitor = ModelMonitor::new(config);
    let analyzer = SecurityAnalyzer::new(config);
    
    // Set up notifications
    let email_handler = EmailNotificationHandler::new(email_config)?;
    let slack_handler = SlackNotificationHandler::new(slack_config)?;
    
    // Start monitoring
    monitor.start().await?;
    
    Ok(())
}

Architecture

spawn-access-control/
├── Core
│   ├── Access Control
│   ├── Security Analysis
│   └── Risk Assessment
├── ML Components
│   ├── Behavioral Analysis
│   ├── Anomaly Detection
│   └── Model Optimization
├── Monitoring
│   ├── Metrics Collection
│   ├── Alert Management
│   └── Auto-remediation
└── Infrastructure
    ├── Distributed Cache
    ├── WASM Support
    └── Database Migrations

CLI Tool

# Analyze security patterns
spawn-cli analyze --input data.json --output report.json

# Monitor system
spawn-cli monitor --config config.yaml

# Generate reports
spawn-cli report --type security --from "2023-01-01" --to "2023-12-31"

Benchmarks

security_analysis_1000  time:   [7.5358 µs 7.5479 µs 7.5654 µs]

Examples

• examples/wasm-demo.html: WebAssembly integration
• examples/monitoring.rs: Real-time monitoring setup
• examples/ml-security.rs: ML-based security analysis
• examples/distributed.rs: Distributed cache usage

Configuration

monitoring:
  window_size: 3600
  performance_threshold: 0.8
  security_threshold: 0.7
  alert_cooldown: 300

notifications:
  email:
    enabled: true
    smtp_host: smtp.example.com
  slack:
    enabled: true
    webhook_url: https://hooks.slack.com/...

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

Acknowledgments

• Built with Rust 🦀
• WebAssembly support via wasm-bindgen
• ML components powered by smartcore