A Survey on Honeypot Software and Data Analysis
Marcin Nawrocki, Matthias W\"ahlisch, Thomas C. Schmidt, Christian, Keil, Jochen Sch\"onfelder
TL;DR
This survey provides a comprehensive overview of honeypot software and data analysis methodologies, highlighting current tools and techniques used in cybersecurity for detecting and studying malicious activities.
Contribution
It offers an extensive review of existing honeypot software and analytical methods, consolidating knowledge for researchers and practitioners.
Findings
Summarizes various honeypot software tools
Reviews data analysis methodologies for honeypots
Identifies gaps and future directions in honeypot research
Abstract
In this survey, we give an extensive overview on honeypots. This includes not only honeypot software but also methodologies to analyse honeypot data.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Anomaly Detection Techniques and Applications · Internet Traffic Analysis and Secure E-voting