implementing-network-deception-with-honeypots

# Implementing Network Deception with Honeypots ## When to Use - When deploying deception technology to detect lateral movement - To create early warning indicators for network intrusion - During security architecture design to add detection depth - When monitoring for unauthorized internal scanning or credential theft - To gather threat intelligence on attacker techniques and tools ## Prerequisites - Linux server or VM for honeypot deployment (Ubuntu 22.04+ recommended) - Python 3.8+ with pip for OpenCanary installation - Docker for T-Pot or containerized deployment - Network segment with appropriate VLAN configuration - SIEM integration for alert forwarding (syslog, webhook, or file-based) - Firewall rules allowing inbound connections to honeypot services ## Workflow 1. **Plan Deployment**: Select honeypot types and network placement strategy. 2. **Install Honeypot**: Deploy OpenCanary, Cowrie, or T-Pot on dedicated host. 3. **Configure Services**: Enable emulated services (SSH, HTTP, SMB, FTP, RDP). 4. **Set Up Alerting**: Configure log forwarding to SIEM and alert channels. 5. **Deploy Canary Tokens**: Place credential files, shares, and DNS entries. 6. **Monitor Interactions**: Analyze honeypot logs for attacker activity. 7. **Tune and Maintain**: Update configurations based on detection results. ## Key Concepts | Concept | Description | |---------|-------------| | OpenCanary | Lightweight Python honeypot with modular service emulation | | Cowrie | Medium-interac...