GNOM
Graph Neural Network Monitoring
When Traditional Security meets Graph Neural Networks
GNOM is an advanced security solution powered by Graph Neural Networks (GNN) developed by RESK Security. It transforms your network infrastructure into a dynamic graph structure for real-time threat detection and vulnerability assessment.
Key Features
Core Features
- Real-time network topology mapping to GNN structures
- Advanced node feature extraction and edge relationship analysis
- Reinforcement Learning-based attack prediction
- Vulnerability assessment through graph analysis
How GNOM Works
Enterprise Network
╔═══════════════════════════════════════╗
║ Enterprise Network ║
║ ┌──────┐ ┌──────┐ ┌──────┐ ║
║ │Server ├────┤Switch├────┤ PC │ ║
║ └──────┘ └──────┘ └──────┘ ║
║ │ │ │ ║
║ ┌──────┐ ┌──────┐ ┌──────┐ ║
║ │Firewall │Router│ │Printer│ ║
║ └──────┘ └──────┘ └──────┘ ║
╚═══════════════════════════════════════╝
Conversion to GNN Structure
╔═══════════════════════════════════════╗
║ Conversion to GNN structure ║
║ [Node]───(Edge)───[Node]───(Edge) ║
║ │ │ ║
║ │ │ ║
║ (Edge) (Edge) ║
║ │ │ ║
║ [Node]───(Edge)───[Node] ║
╚═══════════════════════════════════════╝
GNN Model
╔═══════════════════════════════════════╗
║ GNN Model ║
║ ┌─────────────────────┐ ║
║ │ GNN Conv. Layers │ ║
║ │ [A] → [H] → [Z] │ ║
║ └─────────────────────┘ ║
║ ┌─────────────────────┐ ║
║ │ Node Aggregation │ ║
║ └─────────────────────┘ ║
╚═══════════════════════════════════════╝
RL Agent
╔═══════════════════════════════════════╗
║ RL Agent ║
║ ┌─────────────────────────┐ ║
║ │ State │ Action │ Reward │ ║
║ └─────────────────────────┘ ║
║ │ Policy π(s|a) │ ║
║ │ Value V(s) │ ║
║ └─────────────────────────┘ ║
╚═══════════════════════════════════════╝
Attack Simulation
╔═══════════════════════════════════════╗
║ Attack Simulation ║
║ DDoS Malware Phishing ║
║ │ │ │ ║
║ ▼ ▼ ▼ ║
║ ┌───────────────────────────┐ ║
║ │ Vulnerability Assessment │ ║
║ └───────────────────────────┘ ║
╚═══════════════════════════════════════╝
Vulnerability Prediction
╔═══════════════════════════════════════╗
║ Vulnerability Prediction ║
║ Risk: Low Medium High ║
║ [_] [_] [X] ║
║ ┌───────────────────────────┐ ║
║ │ Ranking of Risky Nodes │ ║
║ └───────────────────────────┘ ║
╚═══════════════════════════════════════╝
Security Recommendations
╔═══════════════════════════════════════╗
║ Security Recommendations ║
║ 1. Firmware updates ║
║ 2. Firewall strengthening ║
║ 3. Employee training ║
║ 4. Network segmentation ║
║ 5. Continuous monitoring ║
╚═══════════════════════════════════════╝
Graph Construction
GNOM converts your network infrastructure into a mathematical graph representation where:
- Nodes represent network devices
- Edges represent connections and data flows
- Node features capture device characteristics
- Edge features represent connection properties
GNN Architecture
Our solution employs:
- Multiple GNN convolutional layers for deep feature extraction
- Advanced node aggregation techniques
- Message passing neural networks for information propagation
- Attention mechanisms for focusing on critical network segments
Documentation
Technical Overview
GNOM employs cutting-edge graph theory and deep learning to transform security monitoring:
- Graph Construction: Translates your network into a mathematical model
- Feature Extraction: Captures temporal and spatial patterns in network traffic
- Anomaly Detection: Identifies deviations from normal behavior
- Threat Analysis: Correlates anomalies with known attack patterns
Implementation Guide
Integrating GNOM into your security infrastructure:
- Seamless integration with existing SIEM solutions
- Compatible with major firewall and IDS/IPS systems
- Customizable alert thresholds and reporting
- Regular model updates via secure cloud connection
Contact
For technical inquiries: contact[@]resk.fr
Visit main RESK website: https://resk.fr
Get in Touch