Analysis of robocall data from 65 countries shows the threat is significantly more severe in the US than elsewhere, backed by a new public dataset of 8.7 million records, transcripts, and recordings.
A Survey on Honeypot Software and Data Analysis
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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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UNVERDICTED 3representative citing papers
Integrates LLMs with domain ontologies and SHACL constraints to produce accurate, explainable structured outputs from cybersecurity logs for threat intelligence.
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.
citing papers explorer
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OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
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.