Publikationen
Peer-reviewed Forschung und Beiträge unseres Teams und unserer Kooperationspartner, von Cyber Threat Intelligence über maschinelles Lernen bis zur Sicherheitsautomatisierung.
2025
- Preprint
A survey of machine learning models and datasets for the multi-label classification of textual hate speech in english
Julian Bäumler, Louis Blöcher, Lars-Joel Frey, Xian Chen, Markus Bayer, Christian Reuter
arXiv
- Preprint
Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence
Philipp Kuehn, Dilara Nadermahmoodi, Markus Bayer, Christian Reuter
arXiv
- Book
Deep Learning in Textual Low-Data Regimes for Cybersecurity
Markus Bayer
- Book
Proactive Cyber Threat Intelligence: Automating the Intelligence Cycle based on Open Sources
Philipp Kuehn
- Conference
Reducing Information Overload: Because Even Security Experts Need to Blink
Philipp Kuehn, Markus Bayer, Tobias Frey, Moritz Kerk, Christian Reuter
Availability, Reliability and Security
2024
5
- ConferenceCORE A* (CORE-Rang des Venues (A* am höchsten).)
‘We Do Not Have the Capacity to Monitor All Media’: A Design Case Study on Cyber Situational Awareness in Computer Emergency Response Teams
Marc-André Kaufhold, Thea Riebe, Markus Bayer, Christian Reuter
CHI'24
- Preprint
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
Markus Bayer, Christian Reuter
arXiv
- JournalCORE A (CORE-Rang des Venues (A* am höchsten).)
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain
Markus Bayer, Philipp Kuehn, Ramin Shanehsaz, Christian Reuter
ACM Transactions on Privacy and Security
- Journal
Navigating the Shadows: Manual and Semi-Automated Evaluation of the Dark Web for Cyber Threat Intelligence
Philipp Kuehn, Kyra Wittorf, Christian Reuter
IEEE Access
- ConferenceCORE A (CORE-Rang des Venues (A* am höchsten).)
XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation
Markus Bayer, Markus Neiczer, Maximilian Samsinger, Björn Buchhold, Christian Reuter
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)
2023
3
- JournalCORE B (CORE-Rang des Venues (A* am höchsten).)
Common vulnerability scoring system prediction based on open source intelligence information sources
Philipp Kuehn, David N. Relke, Christian Reuter
Computers & Security
- Journal
Multi-level fine-tuning, data augmentation, and few-shot learning for specialized cyber threat intelligence
Markus Bayer, Tobias Frey, Christian Reuter
Computers & Security
- Preprint
ThreatCrawl: A BERT-based Focused Crawler for the Cybersecurity Domain
Philipp Kuehn, Mike Schmidt, Markus Bayer, Christian Reuter
2022
5
- Journal
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer, Marc-André Kaufhold, Björn Buchhold, Marcel Keller, Jörg Dallmeyer, Christian Reuter
International Journal of Machine Learning and Cybernetics (IJMLC)
- ConferenceCORE C (CORE-Rang des Venues (A* am höchsten).)
Help Wanted - Challenges in Data Collection, Analysis and Communication of Cyber Threats in Security Operation Centers
Ali Sercan Basyurt, Jennifer Fromm, Philipp Kuehn, Marc-André Kaufhold, Milad Mirabaie
Proceedings of the International Conference on Wirtschaftsinformatik (WI)
- Preprint
Reducing Information Overload: Because Even Security Experts Need to Blink
Philipp Kuehn, Moritz Kerk, Marc Wendelborn, Christian Reuter
- JournalCORE A* (CORE-Rang des Venues (A* am höchsten).)
Survey on Data Augmentation for Text Classification
Markus Bayer, Marc-André Kaufhold, Christian Reuter
ACM Computing Surveys
- Conference
The Notion of Relevance in Cybersecurity: A Categorization of Security Tools and Deduction of Relevance Notions
Philipp Kuehn, Julian Bäumler, Marc-André Kaufhold, Marc Wendelborn, Christian Reuter
Workshop-Proceedings Mensch und Computer
2021
5
- ConferenceCORE B (CORE-Rang des Venues (A* am höchsten).)
CySecAlert: An Alert Generation System for Cyber Security Events Using Open Source Intelligence Data
Thea Riebe, Tristan Wirth, Markus Bayer, Philipp Kuehn, Marc-André Kaufhold, Volker Knauthe, Stefan Guthe, Christian Reuter
Information and Communications Security (ICICS)
- Conference
CYWARN: Strategy and Technology Development for Cross-Platform Cyber Situational Awareness and Actor-Specific Cyber Threat Communication
Marc-André Kaufhold, Jennifer Fromm, Thea Riebe, Milad Mirbabaie, Philipp Kuehn, Ali Sercan Basyurt, Markus Bayer, Marc Stöttinger, Kaan Eyilmez, Reinhard Möller, Christoph Fuchß, Stefan Stieglitz, Christian Reuter
Workshop-Proceedings Mensch und Computer
- ConferenceCORE B (CORE-Rang des Venues (A* am höchsten).)
Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter
Marc-André Kaufhold, Markus Bayer, Daniel Hartung, Christian Reuter
30th International Conference on Artificial Neural Networks (ICANN 2021)
- ConferenceCORE A (CORE-Rang des Venues (A* am höchsten).)
Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies
Markus Bayer, Marc-André Kaufhold, Christian Reuter
Proceedings of the European Conference on Information Systems (ECIS)
- ConferenceCORE B (CORE-Rang des Venues (A* am höchsten).)
OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases
Philipp Kuehn, Markus Bayer, Marc Wendelborn, Christian Reuter
ARES '21: Proceedings of the 16th International Conference on Availability, Reliability and Security
2020
2
- JournalCORE A (CORE-Rang des Venues (A* am höchsten).)
Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning
Marc-André Kaufhold, Markus Bayer, Christian Reuter
Information Processing and Management
- Journal
Sharing of Cyber Threat Intelligence between States
Philipp Kuehn, Thea Riebe, Lynn Apelt, Max Jansen, Christian Reuter
S+F Sicherheit und Frieden / Peace and Security
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