#Data Science
Mit Data Science lassen sich brauchbare Informationen in großen Mengen komplexer Daten entdecken, analysieren und visualisieren.
Publikationen
Luh, Robert, & Schrittwieser, S. (2019). Advanced threat intelligence: detection and classification of anomalous behavior in system processes. E \& i Elektrotechnik Und Informationstechnik, Springer, 1–7.
Pirker, M. (2019, November). More Data - More Security? Invited Talk presented at the TOP Alumni Club, TU Wien.
Pirker, M. (2019, October). Digitale Probleme....für Alle! Presented at the PrivacyWeek, Wien.
Schrittwieser, S. (2019, September). Sicherheit von Container-Virtualisierung. Invited Talk presented at the IDC Security Roadshow Vienna, Wien.
Luh, R., Janicke, H., & Schrittwieser, S. (2019). AIDIS: Detecting and classifying anomalous behavior in ubiquitous kernel processes. Computers & Security, (84), 120–147. https://doi.org/https://doi.org/10.1016/j.cose.2019.03.015
Luh, R. (2019). Advanced Threat Intelligence: Interpretation of Anomalous Behavior in Ubiquitous Kernel Processes (Dissertation). De Monfort University Leicester.
Wenzl, M., Merzdovnik, G., Ullrich, J., & Weippl, E. (2019). From Hack to Elaborate Technique—A Survey on Binary Rewriting. ACM Computing Surveys, 52(3 / Artikel 49).
Pirker, M. (2019, March). (Big) Data (Science) für Security. Invited Talk presented at the Vienna Data Science Group, Wien.
Dabrowski, A., Merzdovnik, G., Ullrich, J., Sendera, G., & Weippl, E. (2019). Measuring cookies and Web privacy in a post-GDPR world. In Passive and Active Measurement (p. pp 258-270). Chile: Springer.