pith. machine review for the scientific record. sign in

arxiv: 1608.06249 · v1 · pith:772VD5RCnew · submitted 2016-08-22 · 💻 cs.CR · cs.NI

A Survey on Honeypot Software and Data Analysis

classification 💻 cs.CR cs.NI
keywords honeypotdatasoftwaresurveyanalyseanalysisextensivegive
0
0 comments X
read the original abstract

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

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models

    cs.AI 2025-10 unverdicted novelty 5.0

    OntoLogX is a system that applies LLMs with ontology guidance, RAG, and iterative fixes to build valid knowledge graphs from cybersecurity logs and predict ATT&CK tactics from aggregated sessions.