mlsanityData to 7 Oct 2026

A Survey on Honeypot Software and Data Analysis

arXiv 1608.06249 ↗First posted 22 Aug 2016cs.CR cs.NIcited by 7

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Abstract (arXiv)

In this survey, we give an extensive overview on honeypots. This includes not only honeypot software but also methodologies to analyse honeypot data.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Aug 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 2; 2026: 2.

7 papers.

  1. 2023Chatbots in a Honeypot Worldcited by 9
  2. 2025OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Modelscited by 3
  3. 2021What are Attackers after on IoT Devices? An approach based on a multi-phased multi-faceted IoT honeypot ecosystem and data clusteringcited by 0
  4. 2024Siren -- Advancing Cybersecurity through Deception and Adaptive Analysiscited by 0
  5. 2025Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologiescited by 0
  6. 2026Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deceptioncited by 0
  7. 2026Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMTcited by 0