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2020 – today
- 2024
[j14]Markus Wurzenberger
, Georg Höld, Max Landauer, Florian Skopik:
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security. Comput. Secur. 137: 103631 (2024)- [j13]Max Landauer, Florian Skopik, Markus Wurzenberger:
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques. Proc. ACM Softw. Eng. 1(FSE): 1354-1375 (2024) - [c24]Markus Wurzenberger, Stephan Krenn, Max Landauer, Florian Skopik, Cora 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:
NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence. ARES 2024: 69:1-69:11 - [c23]Florian Skopik, Benjamin Akhras, Elisabeth Woisetschläger, Medina Andresel, Markus Wurzenberger, Max Landauer:
On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence. ARES 2024: 71:1-71:10 - [c22]Max Landauer, Florian Skopik, Markus Wurzenberger:
Introducing a New Alert Data Set for Multi-Step Attack Analysis. CSET @ USENIX Security Symposium 2024: 41-53 - [i10]Max Landauer, Klaus Mayer, Florian Skopik, Markus Wurzenberger, Manuel Kern:
Red Team Redemption: A Structured Comparison of Open-Source Tools for Adversary Emulation. CoRR abs/2408.15645 (2024) - 2023
- [j12]Florian Skopik, Markus Wurzenberger, Georg Höld, Max Landauer, Walter Kuhn:
Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems. IEEE Trans. Dependable Secur. Comput. 20(4): 3158-3175 (2023) - [j11]Max Landauer, Florian Skopik, Maximilian Frank, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber:
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems. IEEE Trans. Dependable Secur. Comput. 20(4): 3466-3482 (2023) - [c21]Patrick Himler, Max Landauer, Florian Skopik, Markus Wurzenberger:
Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges. EICC 2023: 71-77 - [i9]Max Landauer, Florian Skopik, Markus Wurzenberger:
Introducing a New Alert Data Set for Multi-Step Attack Analysis. CoRR abs/2308.12627 (2023) - [i8]Max Landauer, Florian Skopik, Markus Wurzenberger:
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques. CoRR abs/2309.02854 (2023) - 2022
- [j10]Florian Skopik, Max Landauer, Markus Wurzenberger:
Online Log Data Analysis With Efficient Machine Learning: A Review. IEEE Secur. Priv. 20(3): 80-90 (2022) - [j9]Florian Skopik, Max Landauer, Markus Wurzenberger:
Blind Spots of Security Monitoring in Enterprise Infrastructures: A Survey. IEEE Secur. Priv. 20(6): 18-26 (2022) - [j8]Max Landauer, Florian Skopik, Markus Wurzenberger, Andreas Rauber:
Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation. ACM Trans. Priv. Secur. 25(3): 18:1-18:36 (2022) - [c20]Max Landauer, Florian Skopik, Georg Höld, Markus Wurzenberger:
A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing. IEEE Big Data 2022: 4285-4294 - [c19]Max Landauer, Maximilian Frank, Florian Skopik, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber:
A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation. SAT-CPS@CODASPY 2022: 77-86 - [p2]Florian Skopik, Markus Wurzenberger, Max Landauer:
Detecting Unknown Cyber Security Attacks Through System Behavior Analysis. Cybersecurity of Digital Service Chains 2022: 103-119 - [p1]Markus Wurzenberger, Max Landauer, Agron Bajraktari, Florian Skopik:
Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation. Cybersecurity of Digital Service Chains 2022: 136-161 - [i7]Max Landauer, Florian Skopik, Maximilian Frank, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber:
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems. CoRR abs/2203.08580 (2022) - [i6]Max Landauer, Sebastian Onder, Florian Skopik, Markus Wurzenberger:
Deep Learning for Anomaly Detection in Log Data: A Survey. CoRR abs/2207.03820 (2022) - [i5]Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner:
Kyoushi Testbed Environment: A Model-driven Simulation Framework to Generate Open Log Data Sets for Security Evaluations. ERCIM News 2022(129): 0 (2022) - 2021
- [b1]Florian Skopik, Markus Wurzenberger, Max Landauer:
Smart Log Data Analytics - Techniques for Advanced Security Analysis. Springer 2021, ISBN 978-3-030-74449-6, pp. 1-208 - [j7]Florian Skopik, Markus Wurzenberger, Max Landauer:
The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection. IEEE Secur. Priv. 19(5): 36-45 (2021) - [j6]Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed. IEEE Trans. Reliab. 70(1): 402-415 (2021) - [c18]Max Landauer, Georg Höld, Markus Wurzenberger, Florian Skopik, Andreas Rauber:
Iterative Selection of Categorical Variables for Log Data Anomaly Detection. ESORICS (1) 2021: 757-777 - [i4]Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kastner:
Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data. CoRR abs/2101.07113 (2021) - 2020
- [j5]Max Landauer, Florian Skopik, Markus Wurzenberger, Andreas Rauber:
System log clustering approaches for cyber security applications: A survey. Comput. Secur. 92: 101739 (2020) - [j4]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:
synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems. J. Inf. Secur. Appl. 54: 102544 (2020) - [c17]Markus Wurzenberger, Georg Höld, Max Landauer, Florian Skopik, Wolfgang Kastner:
Creating Character-based Templates for Log Data to Enable Security Event Classification. AsiaCCS 2020: 141-152 - [c16]Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection. ICISSP 2020: 349-360 - [c15]Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
Have It Your Way: Generating Customized Log Data Sets with a Model-driven Simulation Testbed. QRS 2020: 52 - [i3]Florian Skopik, Markus Wurzenberger, Max Landauer:
DECEPT: Detecting Cyber-Physical Attacks using Machine Learning on Log Data. ERCIM News 2020(123) (2020)
2010 – 2019
- 2019
- [c14]Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
A Framework for Cyber Threat Intelligence Extraction from Raw Log Data. IEEE BigData 2019: 3200-3209 - [c13]Markus Wurzenberger, Max Landauer, Florian Skopik, Wolfgang Kastner:
AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis. IM 2019: 7-12 - [r1]Markus Wurzenberger, Florian Skopik, Giuseppe Settanni:
Big Data for Cybersecurity. Encyclopedia of Big Data Technologies 2019 - 2018
- [j3]Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser:
Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection. Comput. Secur. 79: 94-116 (2018) - [j2]Giuseppe Settanni, Florian Skopik, Markus Wurzenberger, Roman Fiedler:
Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems. Elektrotech. Informationstechnik 135(3): 278-285 (2018) - [c12]Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Roman Fiedler:
AECID: A Self-learning Anomaly Detection Approach based on Light-weight Log Parser Models. ICISSP 2018: 386-397 - [c11]Giuseppe Settanni, Florian Skopik, Anjeza Karaj, Markus Wurzenberger, Roman Fiedler:
Protecting cyber physical production systems using anomaly detection to enable self-adaptation. ICPS 2018: 173-180 - [c10]Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser:
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection. ISPEC 2018: 19-36 - [i2]Florian Skopik, Markus Wurzenberger, Roman Fiedler:
synERGY: Detecting Advanced Attacks Across Multiple Layers of Cyber-Physical Systems. ERCIM News 2018(114) (2018) - 2017
- [c9]Markus Wurzenberger, Florian Skopik, Max Landauer, Philipp Greitbauer, Roman Fiedler, Wolfgang Kastner:
Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data. ARES 2017: 31:1-31:6 - [c8]Giuseppe Settanni, Yegor Shovgenya, Florian Skopik, Roman Graf, Markus Wurzenberger, Roman Fiedler:
Acquiring Cyber Threat Intelligence through Security Information Correlation. CYBCONF 2017: 1-7 - [c7]Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kastner:
Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data. CYBCONF 2017: 1-10 - [c6]Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kastner:
Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data. CYBCONF 2017: 1-8 - 2016
- [j1]Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Wolfgang Scherrer:
Complex log file synthesis for rapid sandbox-benchmarking of security- and computer network analysis tools. Inf. Syst. 60: 13-33 (2016) - [c5]Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kastner:
Discovering Insider Threats from Log Data with High-Performance Bioinformatics Tools. MIST@CCS 2016: 109-112 - [c4]Ivo Friedberg, Kieran McLaughlin, Paul Smith, Markus Wurzenberger:
Towards a Resilience Metric Framework for Cyber-Physical Systems. ICS-CSR 2016 - [c3]Giuseppe Settanni, Yegor Shovgenya, Florian Skopik, Roman Graf, Markus Wurzenberger, Roman Fiedler:
Correlating cyber incident information to establish situational awareness in Critical Infrastructures. PST 2016: 78-81 - [i1]Markus Wurzenberger, Florian Skopik:
The BÆSE Testbed - Analytic Evaluation of IT Security Tools in Specified Network Environments. ERCIM News 2016(107) (2016) - 2015
- [c2]Florian Skopik, Markus Wurzenberger, Giuseppe Settanni, Roman Fiedler:
Establishing national cyber situational awareness through incident information clustering. CyberSA 2015: 1-8 - [c1]Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Roman Fiedler:
Beyond gut instincts: Understanding, rating and comparing self-learning IDSs. CyberSA 2015: 1
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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