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Max Landauer

AIT Austrian Institute of Technology GmbH

Austria

Research Interests

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Professors in Austria Professors in Cybersecurity Cybersecurity professors in Austria

Articles (30)

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Collaborators (8)

Florian Skopik

AIT Austrian Institute of Technology GmbH

AUSTRIA

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Edgar Weippl

Full Professor

Universität Wien

AUSTRIA

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Marietheres Dietz

University of Regensburg

GERMANY

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Markus Wurzenberger

AIT Austrian Institute of Technology GmbH

AUSTRIA

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Gregor Langner

AIT Austrian Institute of Technology GmbH

AUSTRIA

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Branka Stojanović

Head of Resilient Networks and Systems Competence Group

Joanneum Research Forschungsgesellschaft mbH

AUSTRIA

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Paul Smith

Lancaster University

UNITED KINGDOM

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Wolfgang Hotwagner

AIT Austrian Institute of Technology GmbH

AUSTRIA

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Max Landauer

Research Interests

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Articles (30)

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

StealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDS

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

Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach

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

A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques

A logging maturity and decision model for the selection of intrusion detection cyber security solutions

Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security

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

Enabling exercises, education and research with a comprehensive cyber range

Online Log Data Analysis With Efficient Machine Learning: A Review

Collaborators (8)

Florian Skopik

Edgar Weippl

Marietheres Dietz

Markus Wurzenberger

Gregor Langner

Branka Stojanović

Paul Smith

Wolfgang Hotwagner

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