A Network Monitor tool that captures and analyzes network traffic, providing real-time statistics, anomaly detection, and historical data visualization. The backend is written in Rust, ensuring high performance and scalability, while the user interface is built with SvelteKit, delivering a responsive and interactive experience.
- Traffic Capture: Monitor incoming and outgoing network traffic with detailed protocol filtering.
- Real-Time Statistics: View bandwidth usage, connection status, latency, and packet loss rates.
- Anomaly Detection: Flag unusual traffic patterns and notify users of potential issues.
- Historical Data Analysis: Store and visualize traffic logs over time, with export options.
- Customizable Filters: Set traffic filters and alert thresholds.
- Real-Time Overview: Dynamic charts and tables showing current traffic metrics.
- Anomaly Panel: Logs of flagged incidents with severity levels.
- Network Map: Visual representation of active connections.
- Settings: Configuration for alerts, filters, and preferences.
- Rust
- Provides a high-performance, memory-safe environment for network traffic processing.
- Uses libraries like
tokiofor async I/O andpcapfor packet capture.
- SvelteKit
- A modern framework for building responsive, reactive, and user-friendly web interfaces.
- Integrated with APIs to display real-time and historical data.
- SQLite or PostgreSQL (for historical log storage).
- Docker (for containerization).
- Rust (https://www.rust-lang.org/tools/install)
- Node.js and npm (https://nodejs.org/)
- Docker (optional, for containerized deployment)