Christian Haas

According to our database, Christian Haas authored at least 9 papers between 2016 and 2026.

Collaborative distances:

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

2026

FEVA-ICS: Benchmarking Adversarial Robustness of Machine Learning-based Intrusion Detection Systems in Industrial Control Systems.

Madhurima Ghosh, Ankush Meshram, Markus Karch, Christian Haas, Xiao Zhang, Mridula Singh

Proceedings of the 12th ACM Cyber-Physical System Security Workshop, 2026

2025

Towards Graph-based Self-learning of Industrial Process Behaviour for Anomaly Detection.

Ankush Meshram, Markus Karch, Christian Haas, Jürgen Beyerer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

FASER-IN: Evasion of Network Intrusion Detection Systems in Industrial Networks.

Pranav Shetty, Ankush Meshram, Markus Karch, Christian Haas, Nils Ole Tippenhauer

Proceedings of the 11th ACM Cyber-Physical System Security Workshop, 2025

2023

Cybersecurity for industrial automation and control systems.

Christian Haas, Georg Bretthauer, Jürgen Beyerer

Autom., September, 2023

Towards Self-learning Industrial Process Behaviour from Payload Bytes for Anomaly Detection.

Ankush Meshram, Markus Karch, Christian Haas, Jürgen Beyerer

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022

POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour.

Ankush Meshram, Markus Karch, Christian Haas, Jürgen Beyerer

Proceedings of the Tools for Design, Implementation and Verification of Emerging Information Technologies, 2022

CrossTest: a cross-domain physical testbed environment for cybersecurity performance evaluations.

Markus Karch, Dennis Rösch, André Kummerow, Ankush Meshram, Christian Haas, Steffen Nicolai

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2018

Towards Computer-Aided Security Life Cycle Management for Critical Industrial Control Systems.

Florian Patzer, Ankush Meshram, Pascal Birnstill, Christian Haas, Jürgen Beyerer

Proceedings of the Critical Information Infrastructures Security, 2018

2016

Anomaly Detection in Industrial Networks using Machine Learning: A Roadmap.

Ankush Meshram, Christian Haas

Proceedings of the Machine Learning for Cyber Physical Systems, 2016