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Mantis

Project Overview

log

Mantis is a high-performance network security solution that combines eBPF XDP technology with deep learning models to provide advanced network protection. The system operates as a standalone network appliance that can run on any Ubuntu-based system with compatible network hardware.

Core Technologies

  • eBPF XDP Technology - Provides high-performance packet processing directly at the data link layer
  • Deep Learning Models - Identifies and predicts potential network attacks with intelligent threat detection
  • Hardware Integration - Designed to work with Intel i350 T2 and similar enterprise-grade network interface cards

System Architecture

Architecture

System Features

  • High Performance - Low-latency packet processing with minimal network performance impact
  • User-Friendly - Cross-platform web management interface with intuitive operation
  • Reliability - Hardware-accelerated processing ensures stable operation
  • Scalability - Modular design supports functional expansion

System Requirements

  • Ubuntu-based operating system (Ubuntu 24.04 LTS or newer recommended)
  • Dual-port network interface card (Intel i350 T2 or compatible XDP-capable NIC)
  • Root/sudo access for eBPF program loading

Hardware Compatibility

Mantis is designed to work on any Ubuntu-based system meeting the following requirements:

  • Network Interface: Any dual-port NIC supporting XDP native or offload mode (Intel i350 T2 recommended)
  • CPU: Multi-core processor recommended for optimal performance
  • Memory: 8GB RAM minimum, 16GB or more for high-traffic environments

The system is not limited to embedded platforms and can be deployed on standard server hardware, virtual machines, or dedicated appliances running Ubuntu.

Description
Mantis is a network Intrusion defense system that integrates deep learning models and suricata with eBPF XDP technology
Readme AGPL-3.0 38 MiB
Languages
Rust 100%