Mario Kahlhofer

According to our database, Mario Kahlhofer authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Koney: A Cyber Deception Orchestration Framework for Kubernetes.

Mario Kahlhofer, Matteo Golinelli, Stefan Rass

CoRR, April, 2025

2024

15th Symposium on Software Performance 2024.

Sören Henning, Mario Kahlhofer, Adriano Vogel

Softwaretechnik-Trends, November, 2024

Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires.

Mario Kahlhofer, Stefan Achleitner, Stefan Rass, René Mayrhofer

Proceedings of the 27th International Symposium on Research in Attacks, 2024

Application Layer Cyber Deception Without Developer Interaction.

Mario Kahlhofer, Stefan Rass

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

2023

Benchmarking Function Hook Latency in Cloud-Native Environments.

Mario Kahlhofer, Patrick Kern, Sören Henning, Stefan Rass

Softwaretechnik-Trends, November, 2023

2021

An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring.

Andreas Schörgenhumer, Thomas Natschläger, Paul Grünbacher, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

Towards Reconstructing Multi-Step Cyber Attacks in Modern Cloud Environments with Tripwires.

Mario Kahlhofer, Michael Hölzl, Andreas Berger

Proceedings of the EICC 2020: European Interdisciplinary Cybersecurity Conference, 2020

2019

On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring.

Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher

Softwaretechnik-Trends, 2019

Using Multi-System Monitoring Time Series to Predict Performance Events.

Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher

Softwaretechnik-Trends, 2019

Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?

Andreas Schörgenhumer, Mario Kahlhofer, Paul Grünbacher, Hanspeter Mössenböck

Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment.

Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Paul Grünbacher, Hanspeter Mössenböck

Proceedings of the 19th IEEE International Symposium on High Assurance Systems Engineering, 2019

2018

Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring.

Andreas Schörgenhumer, Mario Kahlhofer, Hanspeter Mössenböck, Paul Grünbacher

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

2017

Applying Optimizations for Dynamically-typed Languages to Java.

Matthias Grimmer, Stefan Marr, Mario Kahlhofer, Christian Wimmer, Thomas Würthinger, Hanspeter Mössenböck

Proceedings of the 14th International Conference on Managed Languages and Runtimes, 2017