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.
3
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.
verdicts
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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Robocalls: A Worldwide or US-only Problem? Analyzing Spam and Fraud in International Phone Calls
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.
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Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
Integrates LLMs with domain ontologies and SHACL constraints to produce accurate, explainable structured outputs from cybersecurity logs for threat intelligence.
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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.