activity
20222025
most citedCySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain

12 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence

Philipp Kuehn, Dilara Nadermahmoodi, Markus Bayer +1

Public information contains valuable Cyber Threat Intelligence (CTI) that is used to prevent future attacks. While standards exist for sharing this information, much appears in non…

cs.CR2023★ 2 cited

ThreatCrawl: A BERT-based Focused Crawler for the Cybersecurity Domain

Philipp Kuehn, Mike Schmidt, Markus Bayer +1

Publicly available information contains valuable information for Cyber Threat Intelligence (CTI). This can be used to prevent attacks that have already taken place on other systems…

cs.CR2022★ 12 cited

CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain

Markus Bayer, Philipp Kuehn, Ramin Shanehsaz +1

The field of cybersecurity is evolving fast. Experts need to be informed about past, current and - in the best case - upcoming threats, because attacks are becoming more advanced,…

cs.CR2022★ 4 cited

Common Vulnerability Scoring System Prediction based on Open Source Intelligence Information Sources

Philipp Kuehn, David N. Relke, Christian Reuter

The number of newly published vulnerabilities is constantly increasing. Until now, the information available when a new vulnerability is published is manually assessed by experts u…

cs.CR2022★ 1 cited

Reducing Information Overload: Because Even Security Experts Need to Blink

Philipp Kuehn, Markus Bayer, Tobias Frey +2

Computer Emergency Response Teams (CERTs) face increasing challenges processing the growing volume of security-related information. Daily manual analysis of threat reports, securit…