Learning-Based Internet of Things Honeypots for Cyber Deception
HoneyIoT is a high-interaction Internet of Things honeypot that leverages reinforcement learning to adaptively engage and deceive attackers. We demonstrate its superior performance over existing approaches, identify recent trends in attacker evolution, and point out directions for future research.
Authors
- Jiahe Zhang (ORCID: https://orcid.org/0009-0009-3786-990X)
- Guohong Cao (ORCID: https://orcid.org/0000-0003-2115-7165)
- Jaime C. Acosta (ORCID: https://orcid.org/0000-0003-2555-9989)
- Thomas La Porta (ORCID: https://orcid.org/0000-0003-1295-4461)
- Chongqi Guan (ORCID: https://orcid.org/0009-0005-1684-0682)
Institutions
- Pennsylvania State University (US)
- DEVCOM Army Research Laboratory (US)
Publication Details
- Journal
- IEEE Security & Privacy
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1109/msec.2025.3601986
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00