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Dipl.-Ing. Peter Kieseberg

  • Institutsleiter Institut für IT Sicherheitsforschung
  • FH-Dozent
  • Department Informatik und Security
Arbeitsplatz: 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

Kieseberg, P. (2019, March). Das Darknet. Presented at the VHS, Science, Planetarium Wien.
Kieseberg, P. (2019, January). Bitcoin vs. Blockchain. Presented at the Security Day, Fachhochschule 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. In Software Quality - The complexity and challenges of Software Engineering and Software Quality in the Cloud (Vol. LNBIP 338, pp. 14–130). Vienna, Austria: Springer.
Kieseberg, P. (2019, February). Federated Machine Learning in Health Informatics. Presented at the Beirat, Fachhochschule St. Pölten.
Kieseberg, P. (2019, May). Privacy Aware Machine Learning in Health Informatics. Presented at the Fachkonferenz DIGITAL SAFETY + CYBER SECURITY, Novomatic Forum, Vienna, Austria.
Kieseberg, P. (2019, January). Privacy Diskussion: Wie viel sind Sie wert? Presented at the Security Day, FH St. Pölten.
Kieseberg, P. (2019, January). Bitcoin vs. Blockchain. Presented at the Security Day, FH St. Pölten.
Amiri, F., Quirchmayr, G., & Kieseberg, P. (2018). Sensitive Data Anonymization Using Genetic Algorithms for SOM-based Clustering (p. 9). Presented at the welfth International Conference on Emerging Security Information, Systems and Technologies SECURWARE 2018, Venice, Italy: IARIA.
Kieseberg, P. (2018, January 5). Data Literacy. ÖKZ.
Kieseberg, P. (2018, April). Datenschutzmanagement und - organisation. Donau-Uni Krems.
Kieseberg, P. (2018, November). Das Darknet. Presented at the 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].
Kieseberg, P. (2018, January). Digitale Forensik. FH Wr. Neustadt.
Kieseberg, P., & Weippl, E. (2018). Security Challenges in Cyber-Phyiscal Production Systems (p. 14). Presented at the e International Conference on Software Quality, Springer, Cham.
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., … 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.
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.). Cham: Springer.
Amiri, F., Quirchmayr, G., & Kieseberg, P. (2018). A Machine Learning Approach for Privacy-preservation in E-business Applications: In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications (pp. 443–452). Porto, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0006826304430452
Kieseberg, P. (2018, January). Privacy Diskussion: Wie viel sind Sie wert? Presented at the Security Day, FH St. Pölten.
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.
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). Cham: 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., … 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). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99740-7_21
Kieseberg, P., Schrittwieser, S., & Weippl, E. (2018). Structural Limitations of B+-Tree forensics. In Proceedings of the Central European Cybersecurity Conference 2018 on - CECC 2018 (pp. 1–4). Ljubljana, Slovenia: ACM Press. https://doi.org/10.1145/3277570.3277579
Kieseberg, P., Frühwirt, P., & Schrittwieser, S. (2017). Security Testing for Mobile Applications. ERCIM News, 109, 52–53.
Kieseberg, P., Weippl, E., & Schrittwieser, S. (2017). Forensics using Internal Database Structures. ERCIM News, (108).
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).
Kieseberg, P., Neuner, S., Schrittwieser, S., & Schmiedecker, M. (2017). Real-time Forensics through Endpoint Visibility. Presented at the International Conference on Digital Forensics & Cyber Crime (ICDF2C).
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).
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. In 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. In 2015 IEEE Eighth International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Mueller, R., Schrittwieser, S., Fruehwirt, P., Kieseberg, P., & Weippl, E. (2015). Security and privacy of smartphone messaging applications. In International Journal of Pervasive Computing and Communications (Vol. 11).
Rottermanner, C., Kieseberg, P., Huber, M., Schmiedecker, M., & Schrittwieser, S. (2015). Privacy and Data Protection in Smartphone Messengers. In 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. In GI Sicherheit 2014.

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