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54 matching records have been found with your search parameters:
54 - Center "Digital Safety & Security"




Bücher und Buch-Herausgaben:

  1. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer (ed.):
    "Smart Log Data Analytics";
    Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6; 208 pages.


Zeitschriftenbeiträge:

  1. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner:
    "Kyoushi Testbed Environment: A Model-driven Simulation Framework to Generate Open Log Data Sets for Security Evaluations";
    ERCIM News, 129 (2022), 24; 24 - 25.

  2. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner, A. Rauber:
    "Have It Your Way: Generating Customized Log Data Sets with a Model-driven Simulation Testbed";
    Transactions on Reliability, 70 (2021), 402 - 415.

  3. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, A. Rauber:
    "Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation";
    ACM Transactions on Privacy and Security, 25 (2022), 18; 1 - 36.

  4. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, A. Rauber:
    "System Log Clustering Approaches for Cyber Security Applications: A Survey";
    Computers & Security, - (2020), 92; 1 - 17.

  5. Source: Center "Digital Safety & Security"

    M. Landauer, M. Wurzenberger, F. Skopik, G. Settanni, P. Filzmoser:
    "Dynamic Log File Analysis: An Unsupervised Cluster Evolution Approach for Anomaly Detection";
    Computers & Security, 79 (2018), 94 - 116.

  6. Source: Center "Digital Safety & Security"

    G. Settanni, F. Skopik, M. Wurzenberger, R. Fiedler:
    "Countering Targeted Cyber Attacks in Industry 4.0 through Anomaly Detection for Self-Adapting CPS";
    Elektrotechnik & Informationstechnik, 135 (2018), 3; 278 - 285.

  7. Source: Center "Digital Safety & Security"

    F. Skopik, M. Landauer, M. Wurzenberger, G. Vormayr, J. Milosevic, J. Fabini, W. Prüggler, O. Kruschitz, B. Widmann, K. Truckenthanner, S. Rasse, M. Simmer, C. Zauner:
    "synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems";
    Journal of Information Security and Applications, 54 (2020), 1 - 23.

  8. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, R. Fiedler:
    "synERGY: Detecting advanced attacks across multiple layers of cyber-physical systems";
    ERCIM News, 114 (2018), 30 - 31.

  9. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "DECEPT: Detecting Cyber-Physical Attacks using Machine Learning on Log Data";
    ERCIM News, 123 (2020), 33 - 34.

  10. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection";
    IEEE Security & Privacy, 19 (2021), 36 - 45.

  11. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik:
    "The BAESE Testbed - Analytic Evaluation of IT Security Tools in Specified Network Environments";
    ERCIM News, 107 (2016), 51 - 52.

  12. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik:
    "The BÆSE Testbed - Analytic Evaluation of IT Security Tools in Specified Network Environments";
    ERCIM News, 107 (2016), 51 - 52.

  13. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, G. Settanni, W. Scherrer:
    "Complex Log File Synthesis for Rapid Sandbox-Benchmarking of Security- and Computer Network Analysis Tools";
    Information Systems, 60 (2016), 13 - 33.


Buchbeiträge:

  1. Source: Center "Digital Safety & Security"

    I. Friedberg, M. Wurzenberger, A. Al Balushi, B. Kang:
    "From Monitoring, Logging, and Network Analysis to Threat Intelligence Extraction";
    in: "Collaborative Cyber Threat Intelligence", CRC Press, Abingdon, 2017, ISBN: 978-1138031821, 69 - 128.

  2. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "A Concept for a Tree-Based Log Parser Generator";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 131 - 149.

  3. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "AECID: A Light-Weight Log Analysis Approach for Online Anomaly Detection";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 99 - 129.

  4. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Detecting Unknown Cyber Security Attacks Through System Behavior Analysis";
    in: "Cybersecurity of Digital Service Chains", 13300; J. Kołodziej, M. Repetto, A. Duzha (ed.); issued by: Springer; Springer, 2022, ISBN: 978-3-031-04036-8, 103 - 119.

  5. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Final Remarks";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 173.

  6. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Generating Character-Based Templates for Log Data";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 63 - 81.

  7. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Incremental Log Data Clustering for Processing Large Amounts of Data Online";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 43 - 61.

  8. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Introduction";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 1 - 11.

  9. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Survey on Log Clustering Approaches";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 13 - 41.

  10. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Time Series Analysis for Temporal Anomaly Detection";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 83 - 98.

  11. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Variable Type Detector for Statistical Analysis of Log Tokens";
    in: "Smart Log Data Analytics", Springer Nature, Cham, Schweiz, 2021, ISBN: 978-3-030-74449-6, 151 - 171.

  12. Source: Center "Digital Safety & Security"

    M. Wurzenberger, M. Landauer, A. Bajraktari, F. Skopik:
    "Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation";
    in: "Cybersecurity of Digital Service Chains", 13300; J. Kołodziej, M. Repetto, A. Duzha (ed.); issued by: Springer; Springer, 2022, ISBN: 978-3-031-04036-8, 136 - 161.

  13. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, G. Settanni:
    "Big Data for Cybersecurity";
    in: "Encyclopedia of Big Data Technologies", Springer, Cham, 2018, ISBN: 978-3-319-63962-8, 1 - 9.


Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

  1. Source: Center "Digital Safety & Security"

    I. Friedberg, S. McLaughlin, P. Smith, M. Wurzenberger:
    "Towards a Resilience Metric Framework for Cyber-Physical Systems";
    Talk: 4th International Symposium for ICS & SCADA Cyber Security Research 2016, Belfast; 2016-08-23 - 2016-08-25; in: "4th International Symposium for ICS & SCADA Cyber Security Research 2016", BCS, (2016), ISSN: 1477-9358; 19 - 22.

  2. Source: Center "Digital Safety & Security"

    M. Landauer, M. Frank, F. Skopik, M. Wurzenberger, A. Rauber:
    "A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation";
    Talk: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2022-04-27; in: "Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems", Association for Computing Machinery, New York, NY, USA, (2022), ISBN: 9781450392297; 77 - 86.

  3. Source: Center "Digital Safety & Security"

    M. Landauer, G. Höld, M. Wurzenberger, F. Skopik, A. Rauber:
    "Iterative Selection of Categorical Variables for Log Data Anomaly Detection";
    Talk: 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4-8, 2021, Darmstadt; 2021-10-04 - 2021-10-08; in: "Proceedings of the 26th European Symposium on Research in Computer Security", Springer, 26 (2021), ISBN: 978-3-030-88417-8; 757 - 777.

  4. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner, A. Rauber:
    "A Framework for Cyber Threat Intelligence Extraction from Raw Log Data";
    Talk: International Conference on Big Data, Los Angeles; 2019-12-09 - 2019-12-12; in: "Proceedings of the 2019 IEEE International Conference on Big Data (Big Data)", IEEE, (2019), ISBN: 978-1-7281-0858-2; 3200 - 3209.

  5. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner, A. Rauber:
    "Have It Your Way: Generating Customized Log Data Sets with a Model-driven Simulation Testbed";
    Talk: 2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS), Macau; 2020-12-11 - 2020-12-14; in: "Proceedings of the 2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)", IEEE, (2020), 52.

  6. Source: Center "Digital Safety & Security"

    M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner, A. Rauber:
    "Visualizing Syscalls using Self-Organizing Maps for System Intrusion Detection";
    Poster: ICISSP, Valletta; 2020-02-25 - 2020-02-27; in: "Proceedings of the 6th International Conference on Information Systems Security and Privacy", SciTePress, 1 (2020), ISBN: 978-989-758-399-5; 349 - 360.

  7. Source: Center "Digital Safety & Security"

    M. Landauer, M. Wurzenberger, F. Skopik, G. Settanni, P. Filzmoser:
    "Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection";
    Talk: 14th International Conference on Information Security Practice and Experience (ISPEC 2018), Tokyo; 2018-09-25 - 2018-09-27; in: "Information Security Practice and Experience", Springer, Cham, (2018), ISBN: 978-3-319-99806-0; 19 - 36.

  8. Source: Center "Digital Safety & Security"

    G. Settanni, Y. Shovgenya, F. Skopik, M. Wurzenberger, R. Graf, R. Fiedler:
    "Acquiring Cyber Threat Intelligence through Security Information Correlation";
    Talk: 3rd IEEE International Conference on Cybernetics (CYBCONF-2017) WS/SS, Exeter - United Kingdom; 2017-06-21 - 2017-06-23; in: "2017 3rd IEEE International Conference on Cybernetics (CYBCONF)", IEEE eXpress Conference Publishing, (2017), ISBN: 978-1-5386-2201-8; 415 - 421.

  9. Source: Center "Digital Safety & Security"

    G. Settanni, F. Skopik, A. Karaj, M. Wurzenberger, R. Fiedler:
    "Protecting Cyber Physical Production Systems using Anomaly Detection to enable Self-adaptation";
    Talk: 1st IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2018), Saint Petersburg; 2018-05-15 - 2018-05-18; in: "USB Proceedings 2018 IEEE Industrial Cyber-Physical Systems (ICPS)", IEEE, (2018), ISBN: 978-1-5386-6530-5; 173 - 180.

  10. Source: Center "Digital Safety & Security"

    G. Settanni, F. Skopik, M. Wurzenberger, R. Graf, R. Fiedler:
    "Correlating Cyber Incident Information to Establish Situational Awareness in Critical Infrastructures";
    Talk: Fourteenth annual conference on Privacy, Security and Trust, Auckland - New Zeland; 2016-12-12 - 2016-12-14; in: "Proceedings of the 14th International Conference on Privacy, Security and Trust", IEEE, http://ieeexplore.ieee.org/document/7906940/ (2016), ISBN: 978-1-5090-4379-8; 78 - 81.

  11. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, G. Settanni, R. Fiedler:
    "Establishing Cyber Situational Awareness through Incident Information Clustering";
    Talk: International Conference on Cyber Situational Awareness Data Analytics and Assessment, London, UK; 2015-06-08 - 2015-06-09; in: "International Conference on Cyber Situational Awareness Data Analytics and Assessment", Cyril Onwubiko, London (2015), ISBN: 978-0-9932338-0-7; 300 - 314.

  12. Source: Center "Digital Safety & Security"

    M. Wurzenberger, G. Höld, M. Landauer, F. Skopik, W. Kastner:
    "Creating Character-based Templates for Log Data to Enable Security Event Classification";
    Talk: ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, Taipei; 2020-10-05 - 2020-10-09; in: "ASIA CCS '20: Proceedings of the 15th ACM Asia Conference on Computer and Communications Security", ACM, (2020), ISBN: 978-1-4503-6750-9; 141 - 152.

  13. Source: Center "Digital Safety & Security"

    M. Wurzenberger, M. Landauer, F. Skopik, W. Kastner:
    "AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis";
    Talk: IFIP/IEEE IM 2019 Workshop: 4th IEEE/IFIP International Workshop on Analytics for Network and Service Management, Washington; 2019-04-08; in: "IFIP/IEEE IM 2019 Workshop: 4th IEEE/IFIP International Workshop on Analytics for Network and Service Management", (2019), ISBN: 978-3-903176-15-7; 7 - 12.

  14. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, R. Fiedler, W. Kastner:
    "Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data";
    Talk: 3rd IEEE International Conference on Cybernetics (CYBCONF-2017) WS/SS, Exeter - United Kingdom; 2017-06-21 - 2017-06-23; in: "2017 3rd IEEE International Conference on Cybernetics (CYBCONF)", IEEE eXpress Conference Publishing, (2017), ISBN: 978-1-5386-2201-8; 399 - 406.

  15. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, R. Fiedler, W. Kastner:
    "Discovering Insider Threats from Log Data with High-Performance Bioniformatics Tools";
    Talk: MIST' 16, Wien; 2016-10-28; in: "MIST' 16 Proceedings of the 2016 International Workshop on Managing Inisider Security Threats", ACM, New York (2016), ISBN: 9781450345712; 109 - 112.

  16. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, M. Landauer, P. Greitbauer, R. Fiedler, W. Kastner:
    "Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data";
    Talk: ARES - International Conference on Availability, Reliability and Security, Reggio Calabria; 2017-08-29 - 2017-09-01; in: "Proceedings of the 12th International Conference on Availability, Reliability and Security", The Association for Computing Machinery, New York, (2017), ISBN: 978-1-4503-5257-4; 1 - 6.

  17. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, G. Settanni, R. Fiedler:
    "AECID: A Self-learning Anomaly Detection Approach Based on Light-weight Log Parser Models";
    Talk: 4th International Conference on Information Systems Security and Privacy(ICISSP 2018), Funchal, Portugal; 2018-01-22 - 2018-01-24; in: "Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018", SCITEPRESS digital library, 2018, (2018), ISBN: 978-989-758-282-0; 386 - 397.

  18. Source: Center "Digital Safety & Security"

    M. Wurzenberger, F. Skopik, G. Settanni, R. Fiedler:
    "Beyond Gut Instincts: Understanding, Rating and Comparing Self-Learning ICT Intrusion Detecion Systems";
    Poster: International Conference on Cyber Situational Awareness Data Analytics and Assessment, London, UK; 2015-06-08 - 2015-06-09; in: "International Conference on Cyber Situational Awareness Data Analytics and Assessment", Cyril Onwubiko, London (2015), ISBN: 978-0-9932338-0-7; 205 - 207.


Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag):

  1. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger:
    "Cyber Security Research Program: Overview & Insights";
    Talk: ViSP System Security Research Meetup, Online (invited); 2021-12-10.

  2. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Don't get hacked, get AMiner! Log Data Analysis for Intrusion Detection";
    Talk: In-Depth Security Conference Europe (DeepSec) 2021, Vienna (invited); 2021-11-18 - 2021-11-19.

  3. Source: Center "Digital Safety & Security"

    F. Skopik, M. Wurzenberger, M. Landauer:
    "Machine Learning für Logdatenanalyse - Ein Ausblick auf Morgen";
    Talk: IKT Sicherheitskonferenz 2019, Fürstenfeld (invited); 2019-10-01 - 2019-10-02.

  4. Source: Center "Digital Safety & Security"

    M. Wurzenberger:
    "How Can AI Improve Cyber Situational Awareness?";
    Talk: European Big Data Value Forum, Wien (invited); 2018-11-12 - 2018-11-14.

  5. Source: Center "Digital Safety & Security"

    M. Wurzenberger, M. Landauer:
    "Applying Machine Learning for System Log Data Analysis";
    Talk: European Security and Defence College (ESDC), Infrastructures in the Context of Digitization Course - ICD (2019-2020/254/1), Wien (invited); 2019-10-16 - 2019-10-18.

  6. Source: Center "Digital Safety & Security"

    M. Wurzenberger, M. Landauer:
    "ÆCID: A Self-Learning Anomaly Detection Approach Based on Light-weight Log Analytics";
    Talk: BSides Vienna 2019, Wien; 2019-11-30.


Dissertationen (eigene und begutachtete):

  1. Source: Center "Digital Safety & Security"

    M. Wurzenberger:
    "Resource-Efficient Log Analysis to Enable Online Anomaly Detection in Cyber Security";
    Supervisor, Reviewer: W. Kastner, F. Skopik; Technische Universität Wien, 2021; oral examination: 2021-03-26.


Diplom- und Master-Arbeiten (eigene und betreute):

  1. Source: Center "Digital Safety & Security"

    M. Landauer:
    "Dynamic Log File Analysis: An Unsupervised Cluster Evolution Approach for Anomaly Detection";
    Supervisor: P. Filzmoser, F. Skopik, M. Wurzenberger; TU Wien, Fakultät für Informatik, 2018; final examination: 2018-04-11.

  2. Source: Center "Digital Safety & Security"

    M. Wurzenberger:
    "Synthetic Log Data Modeling for the Evaluation of Intrusion Detection Systems";
    Supervisor: W. Scherrer, F. Skopik; TU Wien, 2015; final examination: 2015-11-24.

 
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