A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems
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Abstract (arXiv)
The Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical Systems (CPS) have become essential for our daily lives in contexts such as our homes, buildings, cities, health, transportation, manufacturing, infrastructure, and agriculture. However, they have become popular targets of attacks, due to their inherent limitations which create vulnerabilities. Honeypots and honeynets can prove essential to understand and defend against attacks on IoT, IIoT, and CPS environments by attracting attackers and deceiving them into thinking that they have gained access to the real systems. Honeypots and honeynets can complement other security solutions (i.e., firewalls, Intrusion Detection Systems - IDS) to form a strong defense against malicious entities. This paper provides a comprehensive survey of the research that has been carried out on honeypots and honeynets for IoT, IIoT, and CPS. It provides a taxonomy and extensive analysis of the existing honeypots and honeynets, states key design factors for the state-of-the-art honeypot/honeynet research and outlines open issues for future honeypots and honeynets for IoT, IIoT, and CPS environments.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Aug 2021.
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Citing papers per year: 2023: 3; 2024: 3; 2025: 3.
9 papers.
- 2024Efficient Prompting for LLM-based Generative Internet of Thingscited by 12
- 2025VelLMes: A high-interaction AI-based deception frameworkcited by 3
- 2023HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learningcited by 2
- 2024The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Surveycited by 2
- 2023TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaportscited by 1
- 2024A Generative Model Based Honeypot for Industrial OPC UA Communicationcited by 1
- 2025Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Securitycited by 1
- 2023Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threatscited by 0
- 2025SimProcess: High Fidelity Simulation of Noisy ICS Physical Processescited by 0
- 2025VelLMes: A high-interaction AI-based deception framework8 Oct 2025
- 2025SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes28 May 2025
- 2025Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security22 Apr 2025
- 2024A Generative Model Based Honeypot for Industrial OPC UA Communication28 Oct 2024
- 2024Efficient Prompting for LLM-based Generative Internet of Things14 Jun 2024
- 2024The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey11 Jan 2024
- 2023TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports19 Oct 2023
- 2023Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats13 Jun 2023
- 2023HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning10 May 2023