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Dipl.-Ing. Peter Kieseberg

  • Institutsleiter Institut für IT Sicherheitsforschung
  • FH-Dozent
  • Leiter Josef Ressel Zentrum für Blockchain-Technologien und Sicherheitsmanagement
  • Department Informatik und Security
Arbeitsplatz: A - Matthias Corvinus-Straße 15
M: +43/676/847 228 696

Studiengänge

  • IT Security (BA)
  • Data Science and Business Analytics (BA)
  • Information Security (MA)

Departments

  • Informatik und Security

Kurzprofil

  • 2001 – 2007: Studium der Technischen Mathematik in den Computerwissenschaften an der TU Wien
  • 2007 –2008: Consultant und Projektmanager bei Benmark GmbH
  • 2008 – 2010: Consultant und Projektmanager bei Newcon GmbH
  • Seit 2010: Research Coordinator bei SBA Research
  • Seit November 2017: Dozent an der FH St. Pölten

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Publikationen

Holzinger, A., Kieseberg, P., & Müller, H. (2020). KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI. ERCIM-News, 120, 41–42.
Kieseberg, P. (2019, August 11). Josef Ressel Zentrum für Blockchain-Technologien & Sicherheitsmanagement - Offizielle Eröffnung. Offizielle Eröffnung JRC Blockchains, FH St. Pölten.
Amiri, F., Quirchmayr, G., Kieseberg, P., Weippl, E., & Bertone, A. (2019). Towards Data Anonymization in Data Mining via Meta-heuristic Approaches. Data Privacy Management, Cryptocurrencies and Blockchain Technology, 39–48.
Kieseberg, P. (2019, May 9). JR Center for Blockchain Technologies & Security Management. Beirat, A1.
Kieseberg, P. (2019, August 29). Keynote: Authentication of the future - a challenge to privacy? [Invited talk]. BASS-Workshop, Canterbury, United Kingdom.
Amiri, F., Quirchmayr, G., Kieseberg, P., Bertone, A., & Weippl, E. (2019). Efficiently Vectorized Anonymization in Data Mining using Genetic Algorithms. Proceedings of the 34th International Conference on ICT Systems Security and Privacy Protection-IFIP SEC 2019.
Kieseberg, P. (2019, May 16). Coineater – Automatische Erkennung von Cryptojacking. Security Summit .at.
Kieseberg, P. (2019, April 24). Die DSGVO und das Problem der Löschung von Daten in Datenbanken. FFH Forum, FH Wiener Neustadt.
Kieseberg, P. (2019, March 29). Das Darknet. VHS, Science, Planetarium Wien.
Kieseberg, P. (2019, January 29). Bitcoin vs. Blockchain. Security Day, Fachhochschule St. Pölten.
Kieseberg, P., & Weippl, E. (2019). Securing Information Against Manipulation in the Production Systems Engineering Process. In S. Biffl, M. Eckhart, A. Lüder, & E. Weippl (Eds.), Security and Quality in Cyber-Physical Systems Engineering: With Forewords by Robert M. Lee and Tom Gilb (pp. 335–356). Springer International Publishing. https://doi.org/10.1007/978-3-030-25312-7_12
Kieseberg, P. (2019, May 8). Privacy Aware Machine Learning in Health Informatics. Fachkonferenz DIGITAL SAFETY + CYBER SECURITY, Novomatic Forum, Vienna, Austria.
Kieseberg, P. (2019, February 21). Federated Machine Learning in Health Informatics. Beirat, Fachhochschule St. Pölten.
Kieseberg, P. (2019, January 29). Privacy Diskussion: Wie viel sind Sie wert? Security Day, FH St. Pölten.
Winkler, D., Rinker, F., & Kieseberg, P. (2019). Towards a Flexible and Secure Round-Trip-Engineering Process for Production Systems Engineering with Agile Practices. Software Quality - The Complexity and Challenges of Software Engineering and Software Quality in the Cloud, LNBIP 338, 14–130.
Kieseberg, P., Klausner, L. D., & Holzinger, A. (2019). Distortion in Real-World Analytic Processes. ERCIM News, 118, 49–50.
Amiri, F., Quirchmayr, G., & Kieseberg, P. (2018). Sensitive Data Anonymization Using Genetic Algorithms for SOM-based Clustering. 9.
Kieseberg, P. (2018, January 5). Data Literacy. ÖKZ.
Kieseberg, P. (2018, April 14). Datenschutzmanagement und - organisation.
Kieseberg, P. (2018, November 4). Das Darknet. Lecture, Vienna, VHS Urania.
Malle, B., Giuliani, N., Kieseberg, P., & Holzinger, A. (2018). The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations. ArXiv:1802.03707 [Cs, Stat]. http://arxiv.org/abs/1802.03707
Kieseberg, P. (2018, January 18). Digitale Forensik.
Kieseberg, P., & Weippl, E. (2018). Security Challenges in Cyber-Phyiscal Production Systems. 14.
Kieseberg, P., Skopik, F., Pahi, T., Leitner, M., & Fiedler, R. (2018). Informationsanalysekonzept zur Erstellung von Cyber-Lagebildern in PPPs. In Cyber Situational Awareness in Public-Private-Partnerships (pp. 237–291). Springer Vieweg, Berlin, Heidelberg.
Kaundert, M., Ziegler, L., Pahi, T., Skopik, F., Leitner, M., Kieseberg, P., Schwanzer, B., & Ampia-Addison, J. K. (2018). Evaluierung des Cyber Lagebildkonzepts im praktischen Einsatz. In Cyber Situational Awareness in Public-Private-Partnerships (pp. 293–344). Springer Vieweg, Berlin, Heidelberg.
Pahi, T., Skopik, F., Kieseberg, P., & Leitner, M. (2018). Erhebung von Informations-und Datenquellen für Cyber-Lagebilder. In Cyber Situational Awareness in Public-Private-Partnerships (pp. 191–236). Springer Vieweg, Berlin, Heidelberg.
Holzinger, K., Mak, K., Kieseberg, P., & Holzinger, A. (2018). Can we trust Machine Learning Results? Artificial Intelligence in Safety-Critical decision Support. ERCIM News, 112(1), 42–43.
Kieseberg, P., Schrittwieser, S., & Weippl, E. (2018). Structural Limitations of B+-Tree forensics. Proceedings of the Central European Cybersecurity Conference 2018 on - CECC 2018, 1–4. https://doi.org/10.1145/3277570.3277579
Kieseberg, P. (2018, January 30). Privacy Diskussion: Wie viel sind Sie wert? Security Day, FH St. Pölten.
Holzinger, A., Kieseberg, P., Weippl, E., & Tjoa, A. M. (2018). Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI. In A. Holzinger, P. Kieseberg, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 11015, pp. 1–8). Springer International Publishing. https://doi.org/10.1007/978-3-319-99740-7_1
Goebel, R., Chander, A., Holzinger, K., Lecue, F., Akata, Z., Stumpf, S., Kieseberg, P., & Holzinger, A. (2018). Explainable AI: The New 42? In A. Holzinger, P. Kieseberg, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 11015, pp. 295–303). Springer International Publishing. https://doi.org/10.1007/978-3-319-99740-7_21
CD-MAKE. (2018). Machine learning and knowledge extraction: Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12.9, International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018: proceedings (A. Holzinger, P. Kieseberg, A. M. Tjoa, & E. R. Weippl, Eds.). Springer.
Amiri, F., Quirchmayr, G., & Kieseberg, P. (2018). A Machine Learning Approach for Privacy-preservation in E-business Applications: Proceedings of the 15th International Joint Conference on E-Business and Telecommunications, 443–452. https://doi.org/10.5220/0006826304430452
Kieseberg, P., Schrittwieser, S., Malle, B., & Weippl, E. (2017). Das Testen von Algorithmen in sensibler datengetriebener Forschung. Rundbrief Des Fachausschusses Management Der Anwendungsentwicklung Und -Wartung (WI-MAW). http://fa-wi-maw.gi.de/fileadmin/gliederungen/fg-maw/Rundbriefe/GI_Rundbrief_41_JG23_Online.pdf
Kieseberg, P., Neuner, S., Schrittwieser, S., & Schmiedecker, M. (2017). Real-time Forensics through Endpoint Visibility. International Conference on Digital Forensics & Cyber Crime (ICDF2C). https://www.sba-research.org/wp-content/uploads/publications/fleetForensics.pdf
Kieseberg, P., Frühwirt, P., & Schrittwieser, S. (2017). Security Testing for Mobile Applications. ERCIM News, 109, 52–53. https://www.sba-research.org/wp-content/uploads/publications/201704 - KIESEBERG - Pages from EN109-web.pdf
Kieseberg, P., Weippl, E., & Schrittwieser, S. (2017). Forensics using Internal Database Structures. ERCIM News, 108. http://ercim-news.ercim.eu/images/stories/EN108/EN108-web.pdf
Malle, B., Kieseberg, P., Schrittwieser, S., & Holzinger, A. (2016). Privacy Aware Machine Learning and the Right to be Forgotten. ERCIM News, 107.
Kieseberg, P., Weippl, E., & Schrittwieser, S. (2016). Detection of Data Leaks in Collaborative Data Driven Research. ERCIM News, 105.
Kieseberg, P., Weippl, E., & Schrittwieser, S. (2016). Forensics using Internal Database Structures. ERCIM News, 108.
Mueller, R., Schrittwieser, S., Fruehwirt, P., Kieseberg, P., & Weippl, E. (2015). Security and privacy of smartphone messaging applications. International Journal of Pervasive Computing and Communications, 11.
Fadai, T., Schrittwieser, S., Kieseberg, P., & Mulazzani, M. (2015). Trust me, I am a Root CA! Analyzing SSL Root CAs in modern Browsers and Operating Systems. International Conference on Availability, Reliability and Security (ARES).
Kieseberg, P., Fruehwirt, P., Schrittwieser, S., & Weippl, E. R. (2015). Security tests for mobile applications - Why using TLS or SSL is not enough. 2015 IEEE Eighth International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Rottermanner, C., Kieseberg, P., Huber, M., Schmiedecker, M., & Schrittwieser, S. (2015). Privacy and Data Protection in Smartphone Messengers. Proceedings of the 17th International Conference on Information Integration and Web-Based Applications Services (IiWAS2015).
Kieseberg, P., Schrittwieser, S., Mulazzani, M., Echizen, I., & Weippl, E. (2014). An algorithm for collusion-resistant anonymization and fingerprinting of sensitive microdata. Special Issue on Security and Privacy in Business Networking.
Fruehwirt, P., Kieseberg, P., Hochreiner, C., Schrittwieser, S., & Weippl, E. (2014). InnoDB Datenbank Forensik – Rekonstruktion von Abfragen über Datenbank-interne Logfiles. GI Sicherheit 2014.

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