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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.

Projekte