Publikation
Chat2Pot: Chatting a Honeypot into Existence
Tillmann Angeli; Karina Elzer; Devon Perryman; Hans Dieter Schotten
In: IEEE INFOCOM 2026. International Conference on Computer Communications (INFOCOM-2026), May 18-21, Tokio, Japan, 2026.
Zusammenfassung
The creation and deployment of honeypots tradition-
ally require significant manual effort and specialized expertise,
limiting their adaptability and diversity. Recent advances in
Large Language Models (LLMs) enable new forms of automa-
tion through natural language interfaces. This work introduces
Chat2Pot, a system that leverages LLMs to dynamically gen-
erate diverse, Docker-based honeypots from natural-language
descriptions. By automating the generation of technical artifacts,
Chat2Pot significantly reduces manual effort while enabling
scenario-specific customization. The system integrates validation,
orchestration, and containerized deployment to ensure robustness
and safe automation. This live demonstration showcases the on-
demand generation and deployment of honeypots based on user-
provided descriptions of target environments.
