Search Results - Landauer, Max

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  1. 1
    Deep learning for anomaly detection in log data: A survey

    Deep learning for anomaly detection in log data: A survey by Landauer, Max, Onder, Sebastian, Skopik, Florian, Wurzenberger, Markus

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  2. 2
    Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

    Anomaly detection in log-event sequences: A federated deep learning approach and open challenges by Himler, Patrick, Landauer, Max, Skopik, Florian, Wurzenberger, Markus

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  3. 3
    System log clustering approaches for cyber security applications: A survey

    System log clustering approaches for cyber security applications: A survey by Landauer, Max, Skopik, Florian, Wurzenberger, Markus, Rauber, Andreas

    Published in Computers & security
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  4. 4
    Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection

    Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection by Landauer, Max, Wurzenberger, Markus, Skopik, Florian, Settanni, Giuseppe, Filzmoser, Peter

    Published in Computers & security
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  5. 5
    Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

    Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed by Landauer, Max, Skopik, Florian, Wurzenberger, Markus, Hotwagner, Wolfgang, Rauber, Andreas

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  6. 6
    Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security

    Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security by Wurzenberger, Markus, Höld, Georg, Landauer, Max, Skopik, Florian

    Published in Computers & security
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  7. 7
    A logging maturity and decision model for the selection of intrusion detection cyber security solutions

    A logging maturity and decision model for the selection of intrusion detection cyber security solutions by Kern, Manuel, Landauer, Max, Skopik, Florian, Weippl, Edgar

    Published in Computers & security
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  8. 8
    Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

    Maintainable Log Datasets for Evaluation of Intrusion Detection Systems by Landauer, Max, Skopik, Florian, Frank, Maximilian, Hotwagner, Wolfgang, Wurzenberger, Markus, Rauber, Andreas

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  9. 9
    Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems

    Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems by Skopik, Florian, Wurzenberger, Markus, Hold, Georg, Landauer, Max, Kuhn, Walter

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  10. 10
    A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

    A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction by Landauer, Max, Skopik, Florian, Stojanović, Branka, Flatscher, Andreas, Ullrich, Torsten

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  11. 11
    Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation

    Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation by Landauer, Max, Skopik, Florian, Wurzenberger, Markus, Rauber, Andreas

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  12. 12
    AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection

    AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection by Landauer, Max, Wurzenberger, Markus, Skopik, Florian, Hotwagner, Wolfgang, Höld, Georg

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  13. 13
    synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems

    synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems by Skopik, Florian, Landauer, Max, Wurzenberger, Markus, Vormayr, Gernot, Milosevic, Jelena, Fabini, Joachim, Prüggler, Wolfgang, Kruschitz, Oskar, Widmann, Benjamin, Truckenthanner, Kevin, Rass, Stefan, Simmer, Michael, Zauner, Christoph

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  14. 14
    A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques

    A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques by Landauer, Max, Skopik, Florian, Wurzenberger, Markus

    Published in arXiv.org
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  15. 15
    Introducing a New Alert Data Set for Multi-Step Attack Analysis

    Introducing a New Alert Data Set for Multi-Step Attack Analysis by Landauer, Max, Skopik, Florian, Wurzenberger, Markus

    Published in arXiv.org
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  16. 16
    Deep Learning for Anomaly Detection in Log Data: A Survey

    Deep Learning for Anomaly Detection in Log Data: A Survey by Landauer, Max, Onder, Sebastian, Skopik, Florian, Wurzenberger, Markus

    Published in arXiv.org
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  17. 17
    Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation

    Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation by Landauer, Max, Mayer, Klaus, Skopik, Florian, Wurzenberger, Markus, Kern, Manuel

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  18. 18
    Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

    Maintainable Log Datasets for Evaluation of Intrusion Detection Systems by Landauer, Max, Skopik, Florian, Frank, Maximilian, Hotwagner, Wolfgang, Wurzenberger, Markus, Rauber, Andreas

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  19. 19
    Blind Spots of Security Monitoring in Enterprise Infrastructures: A Survey

    Blind Spots of Security Monitoring in Enterprise Infrastructures: A Survey by Skopik, Florian, Landauer, Max, Wurzenberger, Markus

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  20. 20
    Online Log Data Analysis With Efficient Machine Learning: A Review

    Online Log Data Analysis With Efficient Machine Learning: A Review by Skopik, Florian, Landauer, Max, Wurzenberger, Markus

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