Prof. em. Dr. Ulrich Bühler

• Methods and Techniques of Image-Based and Network-Based Steganography (M.Sc. AI)
• Network and Data Security (B.Sc. AI & WI)
• Cryptography and Formal Methods in IT security (M.Sc. AI)
• Algebraic Basics of Computer Science (B.Sc. AI & WI)
• Discrete Mathematics (M.Sc. AI)

• Cryptographic Methods and Procedures
• Network and Data Security

BMBF-funded research project SecMonet (July 2010 – June 2013): Development of an early-warning system for detecting attacks on local computer networks (anomaly-based intrusion detection – feature selection and classifier); supervision of a doctoral candidate and a research assistant.

BMBF-funded research project IntErA (March 2014 – February 2018): Intelligent detection of cyber-attacks on IT infrastructures (universally applicable intrusion detection system for IT infrastructures based on an intelligent hybrid anomaly detection approach); Supervision of a doctoral candidate and a research assistant.

BMBF-funded research project VERCA (from April 2019): Distributed detection of cyber attacks using an intelligent collaborative intrusion detection system; supervision of doctoral candidates and academic employees.

NDSec Research Group .

• Federal Chair of the Association of Computer Science Departments at Universities of Applied Sciences (FBTI) in Germany (2004–2017): national university policy, including the introduction of the Bachelor’s and Master’s degrees, the right for Universities of Applied Sciences to award doctoral degrees independently, and the further development of study programmes
• Deputy Chair of the FBTI (1998–2004)
• Federal Chair of the Conference of Faculty Councils (KFBT) in Germany, the umbrella organisation for all faculty councils (2017–2023), including Attendance at numerous General Assemblies of the HRK and the Bad Wiesseer Kreis, Stifterverband (Ars legendi Faculty Prize for Excellence in University Teaching in computer science for KFBT member universities
• Deputy Chair of the KFBT (2006–2017)
• Member of the GI Presidential Board (2004–2007)
• Spokesperson for the GI Advisory Board at the HAW, GIBHAW
• Founding member and board member of the international “European Quality Assurance Network for Informatics Education (EQANIE)” (2009–2015)
• ASIIN auditor: accreditation of numerous Bachelor’s and Master’s study programmes in Germany and globally (including Poland, Finland, Kazakhstan, Saudi Arabia, Tunisia and China)
• Also an auditor for ACQUIN, AQAS, FIBAA, ZEvA and Evalag BW (though to a lesser extent)
• Member of the ASIIN Computer Science Expert Committee (2006–2008, 2015–2018) and member of the ASIIN Accreditation Commission (2008–2015)
• Founding member and Deputy Chair of the IT-Zeitsprung e.V. association (2000–2010)

The list below is an extract from the scientific publications of the last 10 years.

• Mike Petersen, Christoph Hardegen, Ulrich Bühler, “Generative Pattern Dissemination for Collaborative Intrusion Detection”, IEEE Conference on Cloud and Internet of Things (CIoT23), 20–22 March 2023, Lusófona University, Lisbon, Portugal
• Chukwuebuka Ezelu, Ulrich Bühler, “Membership Management in Collaborative Intrusion Detection Systems”, International Conference on Computing, Networking and Communications (ICNC 2023), 20–22 February 2023, Honolulu, Hawaii, USA
• Chukwuebuka Ezelu, Ulrich Bühler, “Privacy-Preserving Collaborative Intrusion Detection Systems: A Federated Learning Framework”, The 2022 International Conference on Computational Science and Computational Intelligence (CSCI), 14–16 December 2022; Las Vegas, USA
• Chukwuebuka Ezelu, Ulrich Bühler, “Enhanced Data Security in Collaborative Intrusion Detection Systems (CIDS)”, World Congress on Computer Science, Computer Engineering, & Applied Computing (CSCE), 25–28 July 2022, Las Vegas, USA
• Christoph Hardegen, Mike Petersen, Chukwuebuka Ezelu, Timo Geier, Sebastian Rieger and Ulrich Bühler, “A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection”, 9th International Conference on Communications and Network Security (IEEE CNS 2021), 2021, virtual conference
• Frank Beer, Tim Hofer, David Karimi, Ulrich Bühler, “Feature Analysis and Dataset Evaluation for Flow-based Intrusion Detection Using Rough Set Theory”, IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016
• Frank Beer, Ulrich Bühler, “In-Database Feature Selection Using Rough Set Theory” International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Database and Information Systems (DIS), IPMU, Eindhoven, Netherlands, 2016.
• Frank Beer, Ulrich Bühler, “A Compact Toolset to Compute Rough Sets Based on Relational Database Operations”, European Conference on Machine Learning (ECML), PKDD, Trier, 2015.