Max Landauer

63 papers A 1B 9C 3Misc 1Journal 36Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
AlertBERT: A noise-robust alert grouping framework for simultaneous cyber attacks.
CoRR
Lukas Karner, Max Landauer, Markus Wurzenberger, Florian Skopik
2026 J jnl
AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain.
CoRR
Max Landauer, Wolfgang Hotwagner, Thorina Boenke, Florian Skopik, Markus Wurzenberger
2026 J jnl
CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts.
CoRR
Max Landauer, Wolfgang Hotwagner, Thorina Boenke, Florian Skopik, Markus Wurzenberger
2026 J jnl
Collaborative anomaly detection in log data: Comparative analysis and evaluation framework.
Future Gener. Comput. Syst.
André García Gómez, Max Landauer, Markus Wurzenberger, Florian Skopik, Edgar R. Weippl
2026 J jnl
Lightweight Techniques for Federated Anomaly Detection in Log Data.
IEEE Trans. Reliab.
Anastasia Pustozerova, André García Gómez, Max Landauer, Markus Wurzenberger, Florian Skopik, Edgar R. Weippl, Rudolf Mayer, Andreas Ekelhart
2026 J jnl
Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks.
CoRR
André García Gómez, Ines Rieger, Wolfgang Hotwagner, Max Landauer, Markus Wurzenberger, Florian Skopik, Edgar R. Weippl
2025 J jnl
A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction.
Int. J. Inf. Sec.
Max Landauer, Florian Skopik, Branka Stojanovic, Andreas Flatscher, Torsten Ullrich
2025 — conf
Benign User Activities that Trigger False Positives in Intrusion Detection Systems: An Expert Survey.
ARES (Workshops 2)
Max Landauer, Florian Skopik, Markus Wurzenberger, Teodor Sommestad, Henrik Karlzén
2025 B conf
Cybersecurity Text Classification: Challenging the Perceived Superiority of LLMs Over Conventional Machine Learning.
IEEE Big Data
Dzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Lukas Linauer, Andreas Rauber
2025 — conf
Enhancing Cyber Situational Awareness with AI: A Novel Pipeline Approach for Threat Intelligence Analysis and Enrichment.
ARES (Workshops 2)
Dzenan Hamzic, Florian Skopik, Max Landauer, Markus Wurzenberger, Andreas Rauber
2025 J jnl
Identifying Open-Source Threat Detection Resources on GitHub: A Scalable Machine Learning Approach.
Int. J. Inf. Sec.
Manuel Kern, Max Landauer, Florian Skopik, Edgar R. Weippl
2025 — conf
SC4OSINT: A Story Clustering Approach to Optimize OSINT Analysis.
ARES (Workshops 2)
Elisabeth Woisetschläger, Medina Andresel, Florian Skopik, Benjamin Akhras, Peter Leitmann, Max Landauer, Markus Wurzenberger, Alexander Schindler
2025 J jnl
SoK: LLM-based Log Parsing.
CoRR
Viktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber
2025 J jnl
StealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDS.
CoRR
Manuel Kern, Dominik Steffan, Felix Schuster, Florian Skopik, Max Landauer, David Allison, Simon Freudenthaler, Edgar R. Weippl
2025 — conf
TTP Classification with Minimal Labeled Data: A Retrieval-Based Few-Shot Learning Approach.
ARES (2)
Dzenan Hamzic, Florian Skopik, Max Landauer, Markus Wurzenberger, Andreas Rauber
2025 J jnl
Towards Improving IDS Using CTF Events.
CoRR
Manuel Kern, Florian Skopik, Max Landauer, Edgar R. Weippl
2025 J jnl
Trace of the Times: Rootkit Detection through Temporal Anomalies in Kernel Activity.
CoRR
Max Landauer, Leonhard Alton, Martina Lindorfer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner
2025 J jnl
Trace of the Times: Rootkit Detection through Temporal Anomalies in Kernel Activity.
Digit. Threat. Res. Pract.
Max Landauer, Leonhard Alton, Martina Lindorfer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner
2024 J jnl
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques.
Proc. ACM Softw. Eng.
Max Landauer, Florian Skopik, Markus Wurzenberger
2024 J jnl
A logging maturity and decision model for the selection of intrusion detection cyber security solutions.
Comput. Secur.
Manuel Kern, Max Landauer, Florian Skopik, Edgar R. Weippl
2024 J jnl
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security.
Comput. Secur.
Markus Wurzenberger, Georg Höld, Max Landauer, Florian Skopik
2024 — conf
Dynamic Shields: A Game-Theoretic Reinforcement Learning Framework for APT Mitigation.
GameSec (1)
Gustaf Johansson, Aws Naser Jaber, Florian Skopik, Max Landauer, Wolfgang Hotwagner, Markus Wurzenberger
2024 B conf
Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality Metrics.
IEEE Big Data
Dzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Andreas Rauber
2024 — conf
Introducing a New Alert Data Set for Multi-Step Attack Analysis.
CSET @ USENIX Security Symposium
Max Landauer, Florian Skopik, Markus Wurzenberger
2024 B conf
NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence.
ARES
Markus Wurzenberger, Stephan Krenn, Max Landauer, Florian Skopik, Cora Lisa Perner, Jarno Lötjönen, Jani Päijänen, Georgios Gardikis, Nikos Alabasis, Liisa Sakerman, Kristiina Omri, Juha Röning, Kimmo Halunen, Vincent Thouvenot, Martin Weise, Andreas Rauber, Vasileios Gkioulos, Sokratis K. Katsikas, Luigi Sabetta, Jacopo Bonato, Rocío Ortíz, Daniel Navarro, Nikolaos Stamatelatos, Ioannis Avdoulas, Rudolf Mayer, Andreas Ekelhart, Ioannis Giannoulakis, Emmanouil Kafetzakis, Antonello Corsi, Ulrike Lechner, Corinna Schmitt
2024 B conf
On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence.
ARES
Florian Skopik, Benjamin Akhras, Elisabeth Woisetschläger, Medina Andresel, Markus Wurzenberger, Max Landauer
2024 B conf
Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation.
TrustCom
Max Landauer, Klaus Mayer, Florian Skopik, Markus Wurzenberger, Manuel Kern
2024 J jnl
Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation.
CoRR
Max Landauer, Klaus Mayer, Florian Skopik, Markus Wurzenberger, Manuel Kern
2024 B conf
Semi-supervised Configuration and Optimization of Anomaly Detection Algorithms on Log Data.
IEEE Big Data
Viktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber
2023 J jnl
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques.
CoRR
Max Landauer, Florian Skopik, Markus Wurzenberger
2023 J jnl
AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection.
DTRAP
Max Landauer, Markus Wurzenberger, Florian Skopik, Wolfgang Hotwagner, Georg Höld
2023 J jnl
Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems.
IEEE Trans. Dependable Secur. Comput.
Florian Skopik, Markus Wurzenberger, Georg Höld, Max Landauer, Walter Kuhn
2023 J jnl
Introducing a New Alert Data Set for Multi-Step Attack Analysis.
CoRR
Max Landauer, Florian Skopik, Markus Wurzenberger
2023 J jnl
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems.
IEEE Trans. Dependable Secur. Comput.
Max Landauer, Florian Skopik, Maximilian Frank, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber
2023 — conf
Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges.
EICC
Patrick Himler, Max Landauer, Florian Skopik, Markus Wurzenberger
2022 — conf
A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation.
SAT-CPS@CODASPY
Max Landauer, Maximilian Frank, Florian Skopik, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber
2022 B conf
A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing.
IEEE Big Data
Max Landauer, Florian Skopik, Georg Höld, Markus Wurzenberger
2022 — ch.
Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation.
Cybersecurity of Digital Service Chains
Markus Wurzenberger, Max Landauer, Agron Bajraktari, Florian Skopik
2022 J jnl
Blind Spots of Security Monitoring in Enterprise Infrastructures: A Survey.
IEEE Secur. Priv.
Florian Skopik, Max Landauer, Markus Wurzenberger
2022 J jnl
Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation.
ACM Trans. Priv. Secur.
Max Landauer, Florian Skopik, Markus Wurzenberger, Andreas Rauber
2022 J jnl
Deep Learning for Anomaly Detection in Log Data: A Survey.
CoRR
Max Landauer, Sebastian Onder, Florian Skopik, Markus Wurzenberger
2022 — ch.
Detecting Unknown Cyber Security Attacks Through System Behavior Analysis.
Cybersecurity of Digital Service Chains
Florian Skopik, Markus Wurzenberger, Max Landauer
2022 J jnl
Kyoushi Testbed Environment: A Model-driven Simulation Framework to Generate Open Log Data Sets for Security Evaluations.
ERCIM News
Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner
2022 J jnl
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems.
CoRR
Max Landauer, Florian Skopik, Maximilian Frank, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber
2022 J jnl
Online Log Data Analysis With Efficient Machine Learning: A Review.
IEEE Secur. Priv.
Florian Skopik, Max Landauer, Markus Wurzenberger
2022 Misc conf
Strategic selection of data sources for cyber attack detection in enterprise networks: a survey and approach.
SAC
Manuel Kern, Florian Skopik, Max Landauer, Edgar R. Weippl
2021 J jnl
Enabling exercises, education and research with a comprehensive cyber range.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Maria Leitner, Maximilian Frank, Gregor Langner, Max Landauer, Florian Skopik, Paul Smith, Benjamin Akhras, Wolfgang Hotwagner, Stela Kucek, Timea Pahi, Lenhard Reuter, Manuel Warum
2021 J jnl
Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed.
IEEE Trans. Reliab.
Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber
2021 — conf
Iterative Selection of Categorical Variables for Log Data Anomaly Detection.
ESORICS (1)
Max Landauer, Georg Höld, Markus Wurzenberger, Florian Skopik, Andreas Rauber
2021 — book
Smart Log Data Analytics - Techniques for Advanced Security Analysis
Florian Skopik, Markus Wurzenberger, Max Landauer
2021 J jnl
The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection.
IEEE Secur. Priv.
Florian Skopik, Markus Wurzenberger, Max Landauer
2020 A conf
Creating Character-based Templates for Log Data to Enable Security Event Classification.
AsiaCCS
Markus Wurzenberger, Georg Höld, Max Landauer, Florian Skopik, Wolfgang Kastner
2020 J jnl
DECEPT: Detecting Cyber-Physical Attacks using Machine Learning on Log Data.
ERCIM News
Florian Skopik, Markus Wurzenberger, Max Landauer
2020 C conf
Have It Your Way: Generating Customized Log Data Sets with a Model-driven Simulation Testbed.
QRS
Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber
2020 J jnl
System log clustering approaches for cyber security applications: A survey.
Comput. Secur.
Max Landauer, Florian Skopik, Markus Wurzenberger, Andreas Rauber
2020 C conf
Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection.
ICISSP
Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber
2020 J jnl
synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems.
J. Inf. Secur. Appl.
Florian Skopik, Max Landauer, Markus Wurzenberger, Gernot Vormayr, Jelena Milosevic, Joachim Fabini, Wolfgang Prüggler, Oskar Kruschitz, Benjamin Widmann, Kevin Truckenthanner, Stefan Rass, Michael Simmer, Christoph Zauner
2019 — conf
A Framework for Cyber Threat Intelligence Extraction from Raw Log Data.
IEEE BigData
Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber
2019 B conf
AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis.
IM
Markus Wurzenberger, Max Landauer, Florian Skopik, Wolfgang Kastner
2019 J jnl
INDICÆTING - Automatically Detecting, Extracting, and Correlating Cyber Threat Intelligence from Raw Computer Log Data.
ERCIM News
Max Landauer, Florian Skopik
2018 J jnl
Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection.
Comput. Secur.
Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
2018 C conf
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection.
ISPEC
Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
2017 B conf
Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data.
ARES
Markus Wurzenberger, Florian Skopik, Max Landauer, Philipp Greitbauer, Roman Fiedler, Wolfgang Kastner