Markus Wurzenberger

920 total citations
38 papers, 480 citations indexed

About

Markus Wurzenberger is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Markus Wurzenberger has authored 38 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Markus Wurzenberger's work include Network Security and Intrusion Detection (34 papers), Anomaly Detection Techniques and Applications (24 papers) and Software System Performance and Reliability (23 papers). Markus Wurzenberger is often cited by papers focused on Network Security and Intrusion Detection (34 papers), Anomaly Detection Techniques and Applications (24 papers) and Software System Performance and Reliability (23 papers). Markus Wurzenberger collaborates with scholars based in Austria and United Kingdom. Markus Wurzenberger's co-authors include Florian Skopik, Max Landauer, Andreas Rauber, Giuseppe Settanni, Roman Fiedler, Peter Filzmoser, Wolfgang Kästner, Roman Graf, Wolfgang Scherrer and Paul Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Reliability and Computers & Security.

In The Last Decade

Markus Wurzenberger

36 papers receiving 448 citations

Peers

Countries citing papers authored by Markus Wurzenberger

Since Specialization

Citations

This map shows the geographic impact of Markus Wurzenberger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Wurzenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Wurzenberger more than expected).

Fields of papers citing papers by Markus Wurzenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Wurzenberger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Wurzenberger. The network helps show where Markus Wurzenberger may publish in the future.

Co-authorship network of co-authors of Markus Wurzenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Wurzenberger. A scholar is included among the top collaborators of Markus Wurzenberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Wurzenberger. Markus Wurzenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques 2024 ·Proceedings of the ACM on software engineering. ·Max Landauer, Florian Skopik, Markus Wurzenberger	14
2	On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence 2024 ·Florian Skopik, (unknown), (unknown), (unknown), Markus Wurzenberger, Max Landauer	1
3	Introducing a New Alert Data Set for Multi-Step Attack Analysis 2024 ·Max Landauer, Florian Skopik, Markus Wurzenberger	4
4	Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality Metrics 2024 ·(unknown), Markus Wurzenberger, Florian Skopik, Max Landauer, Andreas Rauber	0
5	Deep learning for anomaly detection in log data: A survey 2023 ·SHILAP Revista de lepidopterología ·Max Landauer, (unknown), Florian Skopik, Markus Wurzenberger	78
6	Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges 2023 ·(unknown), Max Landauer, Florian Skopik, Markus Wurzenberger	4
7	A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing 2022 ·2022 IEEE International Conference on Big Data (Big Data) ·Max Landauer, Florian Skopik, (unknown), Markus Wurzenberger	3
8	AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection 2022 ·Max Landauer, Markus Wurzenberger, Florian Skopik, (unknown), (unknown)	9
9	A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation 2022 ·Max Landauer, (unknown), Florian Skopik, (unknown), Markus Wurzenberger, Andreas Rauber	2
10	The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection 2021 ·IEEE Security & Privacy ·Florian Skopik, Markus Wurzenberger, Max Landauer	3
11	Smart Log Data Analytics 2021 ·Florian Skopik, Markus Wurzenberger, Max Landauer	7
12	Creating Character-based Templates for Log Data to Enable Security Event Classification 2020 ·Markus Wurzenberger, (unknown), Max Landauer, Florian Skopik, Wolfgang Kästner	2
13	synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems 2020 ·Journal of Information Security and Applications ·Florian Skopik, Max Landauer, Markus Wurzenberger, (unknown), (unknown), Joachim Fabini, (unknown), (unknown), (unknown), (unknown), Stefan Raß, (unknown), Christoph Zauner	8
14	AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis 2019 ·Immunotechnology ·Markus Wurzenberger, Max Landauer, Florian Skopik, Wolfgang Kästner	5
15	AECID: A Self-learning Anomaly Detection Approach based on Light-weight Log Parser Models 2018 ·Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Roman Fiedler	9
16	Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems 2018 ·e+i Elektrotechnik und Informationstechnik ·Giuseppe Settanni, Florian Skopik, Markus Wurzenberger, Roman Fiedler	10
17	Protecting cyber physical production systems using anomaly detection to enable self-adaptation 2018 ·Giuseppe Settanni, Florian Skopik, (unknown), Markus Wurzenberger, Roman Fiedler	26
18	Discovering Insider Threats from Log Data with High-Performance Bioinformatics Tools 2016 ·Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kästner	6
19	Towards a Resilience Metric Framework for Cyber-Physical Systems 2016 ·Electronic workshops in computing ·Ivo Friedberg, Kieran McLaughlin, Paul Smith, Markus Wurzenberger	8
20	Establishing national cyber situational awareness through incident information clustering 2015 ·Florian Skopik, Markus Wurzenberger, Giuseppe Settanni, Roman Fiedler	9

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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