Markus Wurzenberger

CoRR, 2023

Introducing a New Alert Data Set for Multi-Step Attack Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges.

[BibT_eX]

[DOI]

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

2022

Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Cybersecurity of Digital Service Chains, 2022

Detecting Unknown Cyber Security Attacks Through System Behavior Analysis.

[BibT_eX]

[DOI]

Proceedings of the Cybersecurity of Digital Service Chains, 2022

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

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., 2022

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

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2022

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

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2022

Kyoushi Testbed Environment: A Model-driven Simulation Framework to Generate Open Log Data Sets for Security Evaluations.

[BibT_eX]

[DOI]

ERCIM News, 2022

Deep Learning for Anomaly Detection in Log Data: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Sat-CPS@CODASPY 2022: Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2022

A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2021

The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection.

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2021

Iterative Selection of Categorical Variables for Log Data Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2021, 2021

Smart Log Data Analytics - Techniques for Advanced Security Analysis

[BibT_eX]

[DOI]

Springer, ISBN: 978-3-030-74449-6, 2021

2020

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

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2020

DECEPT: Detecting Cyber-Physical Attacks using Machine Learning on Log Data.

[BibT_eX]

[DOI]

ERCIM News, 2020

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

[BibT_eX]

[DOI]

Comput. Secur., 2020

Have It Your Way: Generating Customized Log Data Sets with a Model-driven Simulation Testbed.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Creating Character-based Templates for Log Data to Enable Security Event Classification.

[BibT_eX]

[DOI]

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Big Data for Cybersecurity.

[BibT_eX]

[DOI]

Giuseppe Settanni

Proceedings of the Encyclopedia of Big Data Technologies., 2019

AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis.

[BibT_eX]

[DOI]

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

A Framework for Cyber Threat Intelligence Extraction from Raw Log Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

synERGY: Detecting Advanced Attacks Across Multiple Layers of Cyber-Physical Systems.

[BibT_eX]

[DOI]

Roman Fiedler

ERCIM News, 2018

Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems.

[BibT_eX]

[DOI]

Elektrotech. Informationstechnik, 2018

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection.

[BibT_eX]

[DOI]

Comput. Secur., 2018

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Information Security Practice and Experience, 2018

Protecting cyber physical production systems using anomaly detection to enable self-adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

AECID: A Self-learning Anomaly Detection Approach based on Light-weight Log Parser Models.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

2017

Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

Acquiring Cyber Threat Intelligence through Security Information Correlation.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Availability, Reliability and Security, Reggio Calabria, Italy, August 29, 2017

2016

Complex log file synthesis for rapid sandbox-benchmarking of security- and computer network analysis tools.

[BibT_eX]

[DOI]

Inf. Syst., 2016

The BÆSE Testbed - Analytic Evaluation of IT Security Tools in Specified Network Environments.

[BibT_eX]

[DOI]