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Markus Wurzenberger

AIT Austrian Institute of Technology GmbH

Research Interests

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Articles (23)

Collaborators (5)

Florian Skopik

AIT Austrian Institute of Technology GmbH

Edgar Weippl

Full Professor

Universität Wien

Marietheres Dietz

University of Regensburg

Max Landauer

AIT Austrian Institute of Technology GmbH

Wolfgang Hotwagner

AIT Austrian Institute of Technology GmbH

ApplyKite TwinLearns as you apply

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Review drafts before you send them.

Markus Wurzenberger

Research Interests

Make your next move.

Explore related searches

Articles (23)

Collaborators (5)

Florian Skopik

Edgar Weippl

Marietheres Dietz

Max Landauer

Wolfgang Hotwagner

Make your next move.

Markus Wurzenberger

Research Interests

Make your next move.

Explore related searches

Articles (23)

Constraint-Aware Evolutionary Design of Hierarchical Collaborative Intrusion Detection Architectures for UAV Swarms

Let the Alerts Speak: LLM-Based IDS Alert Interpretation for SOC Triage

Collaborative anomaly detection in log data: Comparative analysis and evaluation framework

Lightweight Techniques for Federated Anomaly Detection in Log Data

AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain

CAM-LDS: cyber attack manifestations for automatic interpretation of system logs and security alerts

Engineering cyber ranges and security testbeds: a survey of technologies, use cases, and research trends

Dynamic Shields: A Game-Theoretic Reinforcement Learning Framework for APT Mitigation

Trace of the Times: Rootkit Detection through Temporal Anomalies in Kernel Activity

Benign User Activities that Trigger False Positives in Intrusion Detection Systems: An Expert Survey

Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation

Enhancing Cyber Situational Awareness with AI: A Novel Pipeline Approach for Threat Intelligence Analysis and Enrichment

TTP Classification with Minimal Labeled Data: A Retrieval-Based Few-Shot Learning Approach

Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

Deep learning for anomaly detection in log data: A survey

AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection

Blind Spots of Security Monitoring in Enterprise Infrastructures: A Survey

Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation

The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection

Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

Online Log Data Analysis With Efficient Machine Learning: A Review

synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

Collaborators (5)

Florian Skopik

Edgar Weippl

Marietheres Dietz

Max Landauer

Wolfgang Hotwagner

Make your next move.