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