Learning-Based Internet of Things Honeypots for Cyber Deception

Chongqi Guan; Jiahe Zhang; Guohong Cao; Thomas F. La Porta; Jaime C. Acosta

doi:10.1109/MSEC.2025.3601986

Learning-Based Internet of Things Honeypots for Cyber Deception

Chongqi Guan
, Jiahe Zhang
, Guohong Cao
, Thomas F. La Porta
, Jaime C. Acosta

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	2-10
Number of pages	9
Journal	IEEE Security and Privacy
DOIs	https://doi.org/10.1109/MSEC.2025.3601986
State	Accepted/In press - 2025

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Law

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10.1109/MSEC.2025.3601986

Cite this

@article{5b2a6114242a4b578ae89aa9d4a0872d,

title = "Learning-Based Internet of Things Honeypots for Cyber Deception",

abstract = "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.",

author = "Chongqi Guan and Jiahe Zhang and Guohong Cao and \{La Porta\}, \{Thomas F.\} and Acosta, \{Jaime C.\}",

note = "Publisher Copyright: {\textcopyright} 2003-2012 IEEE.",

year = "2025",

doi = "10.1109/MSEC.2025.3601986",

language = "English (US)",

pages = "2--10",

journal = "IEEE Security and Privacy",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Learning-Based Internet of Things Honeypots for Cyber Deception

AU - Guan, Chongqi

AU - Zhang, Jiahe

AU - Cao, Guohong

AU - La Porta, Thomas F.

AU - Acosta, Jaime C.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/105016515078#tab=citedBy

U2 - 10.1109/MSEC.2025.3601986

DO - 10.1109/MSEC.2025.3601986

M3 - Article

AN - SCOPUS:105016515078

SN - 1540-7993

SP - 2

EP - 10

JO - IEEE Security and Privacy

JF - IEEE Security and Privacy

ER -

Learning-Based Internet of Things Honeypots for Cyber Deception

Abstract

All Science Journal Classification (ASJC) codes

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