# Spawn Access Control Enterprise-grade security and access control library with advanced monitoring, machine learning capabilities, and real-time threat detection for Rust applications. [![Crates.io](https://img.shields.io/crates/v/spawn-access-control.svg)](https://crates.io/crates/spawn-access-control) [![Documentation](https://docs.rs/spawn-access-control/badge.svg)](https://docs.rs/spawn-access-control) [![License](https://img.shields.io/badge/license-MIT%2FApache--2.0-blue.svg)](LICENSE) ## Core Features ### Security & Access Control - ๐Ÿ”’ Role-Based Access Control (RBAC) - ๐Ÿ›ก๏ธ Behavioral Pattern Analysis - ๐ŸŒ Geo-location Based Security - ๐Ÿ” Risk Analysis & Scoring ### Machine Learning & Analytics - ๐Ÿค– ML-Powered Anomaly Detection - ๐Ÿ“Š Time Series Analysis - ๐ŸŽฏ Predictive Security Metrics - ๐Ÿงฎ Model Explainability ### Monitoring & Alerting - ๐Ÿ“ˆ Real-time Performance Monitoring - โšก Prometheus Integration - ๐Ÿ“ง Email & Slack Notifications - ๐Ÿšจ Auto-remediation Actions ### Infrastructure - ๐Ÿ’พ Distributed Cache Support - ๐ŸŒ WebAssembly Compatibility - ๐Ÿš€ High Performance (7.5ฮผs avg.) - ๐Ÿ”„ Migration Support ## Installation ```toml [dependencies] spawn-access-control = "0.1.11" ``` ## Quick Start ```rust 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/ โ”œโ”€โ”€ Core โ”‚ โ”œโ”€โ”€ Access Control โ”‚ โ”œโ”€โ”€ Security Analysis โ”‚ โ””โ”€โ”€ Risk Assessment โ”œโ”€โ”€ ML Components โ”‚ โ”œโ”€โ”€ Behavioral Analysis โ”‚ โ”œโ”€โ”€ Anomaly Detection โ”‚ โ””โ”€โ”€ Model Optimization โ”œโ”€โ”€ Monitoring โ”‚ โ”œโ”€โ”€ Metrics Collection โ”‚ โ”œโ”€โ”€ Alert Management โ”‚ โ””โ”€โ”€ Auto-remediation โ””โ”€โ”€ Infrastructure โ”œโ”€โ”€ Distributed Cache โ”œโ”€โ”€ WASM Support โ””โ”€โ”€ Database Migrations ``` ## CLI Tool ```bash # 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 ยตs 7.5479 ยตs 7.5654 ยตs] ``` ## 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 ```yaml 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](LICENSE-APACHE)) - MIT license ([LICENSE-MIT](LICENSE-MIT)) ## Acknowledgments - Built with Rust ๐Ÿฆ€ - WebAssembly support via wasm-bindgen - ML components powered by smartcore