Josef Ressel Zentrum für konsolidierte Erkennung gezielter Angriffe (TARGET)

Publikationen

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Burtscher, S., Spiel, K., Klausner, L. D., Lardelli, M., & Gromann, D. (2022). „Es geht um Respekt, nicht um Technologie“: Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie. Tagungsband Der Mensch Und Computer 2022, 106–1118. https://doi.org/10.1145/3543758.3544213
Eresheim, S. (2020). Reinforcement Learning for Incident Protection in IT. First Conference on Mathematics of Data Science (MDS20).
Eresheim, S. (2020). Cybersecurity Containment Agent. Machine Learning Prague 2020.
Luh, R., & 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 22). More Data - More Security? [Invited Talk]. TOP Alumni Club, TU Wien. https://www.eventbrite.com/e/ai-among-us-todays-use-cases-of-applied-ai-tickets-78776670141
Pirker, M. (2019, October 23). Digitale Probleme....für Alle! PrivacyWeek, Wien. https://fahrplan.privacyweek.at/pw19/talk/N98QNQ/
Schrittwieser, S. (2019, September 26). Sicherheit von Container-Virtualisierung [Invited Talk]. IDC Security Roadshow Vienna, Wien. https://idcitsecurity.com/2019/vienna/
Luh, R. (2019). Advanced Threat Intelligence: Interpretation of Anomalous Behavior in Ubiquitous Kernel Processes [Dissertation]. De Monfort University Leicester. https://dora.dmu.ac.uk/handle/2086/18527
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/10/gh38cc
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). https://doi.org/10.1145/3316415
Pirker, M. (2019, March 29). (Big) Data (Science) für Security [Invited Talk]. Vienna Data Science Group, Wien. https://www.meetup.com/de-DE/Vienna-Data-Science-Group-Meetup/events/259922553/
Pirker, M. (2019, February 26). Robustes Parsen von Inputdaten. Sec4dev, Wien. https://sec4dev.io/sessions/robustes-parsen-von-inputdaten
Eresheim, S., Klausner, L. D., & Kochberger, P. (2019). Anomaly Detection Support Using Process Classification. Proceedings of the 5th International Conference on Software Security and Assurance, 27–40. https://doi.org/10/gnt2wn
Dam, T., Klausner, L. D., Buhov, D., & Schrittwieser, S. (2019). Large-Scale Analysis of Pop-Up Scam on Typosquatting URLs. Proceedings of the 14th International Conference on Availability, Reliability and Security, 53:1-53:9. https://doi.org/10/gh378k
Schrittwieser, S. (2019, 08.-16.08). Software Protection through Obfusction - Can it keep pace with progress in code analysis? [Invited Talk]. Dagstuhl Seminar on Software Protection Decision Support and Evaluation Methodologies, Dagstuhl. https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=19331
Kurniawan, K., Ekelhart, A., Fröschl, A., & Ekaputra, F. (2019). Semantic integration and monitoring of file system activity. Semantic Systems. The Power of AI and Knowledge Graphs, Artikel Nummer 17. http://ceur-ws.org/Vol-2451/paper-17.pdf
Dabrowski, A., Merzdovnik, G., Ullrich, J., Sendera, G., & Weippl, E. (2019). Measuring cookies and Web privacy in a post-GDPR world. Passive and Active Measurement, pp 258-270. https://doi.org/10/ghjgnn
Luh, R., Schramm, G., Wagner, M., Janicke, H., & Schrittwieser, S. (2018). SEQUIN: a grammar inference framework for analyzing malicious system behavior. Journal of Computer Virology and Hacking Techniques, 01–21. https://doi.org/10/cwdf
Luh, Robert, Temper, M., Tjoa, S., & Schrittwieser, S. (2018). APT RPG: Design of a Gamified Attacker/Defender Meta Model. International Workshop on FORmal Methods for Security Engineering. International Workshop on FORmal methods for Security Engineering.
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
Rauchberger, J., Luh, R., & Schrittwieser, S. (2017). Longkit - A Universal Framework for BIOS/UEFI Rootkits in System Management Mode. Third International Conference on Information Systems Security and Privacy, Madeira, Portugal. https://doi.org/10/gh3729
Eresheim, S., Luh, R., & Schrittwieser, S. (2017). The Evolution of Process Hiding Techniques in Malware – Current Threats and Possible Countermeasures. Journal of Information Processing. https://doi.org/10/gh3722
Kim, J., Kim, K., Cho, J., Kim, H., & Schrittwieser, S. (2017). Hello, Facebook! Here is the stalkers" paradise!: Design and analysis of enumeration attack using phone numbers on Facebook. 13th International Conference on Information Security Practice and Experience (ISPEC 2017). https://doi.org/10/gh3724
Luh, R., Schrittwieser, S., & Marschalek, S. (2017). LLR-based Sentiment Analysis for Kernel Event Sequences. 31th International Conference on Advanced Information Networking and Applications. https://doi.org/10/gh3728
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
Luh, R., Schramm, G., Wagner, M., & Schrittwieser, S. (2017). Sequitur-based Inference and Analysis Framework for Malicious System Behavior. First International Workshop on Formal Methods for Security Engineering. https://doi.org/10/cwdb
Luh, R., Schrittwieser, S., Janicke, H., & Marschalek, S. (2017). Design of an Anomaly-based Threat Detection & Explication System. Third International Conference on Information Systems Security and Privacy, Madeira, Portugal. https://doi.org/10/gnd7mx
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.
Luh, R., Schrittwieser, S., & Marschalek, S. (2016). TAON: An Ontology-based Approach to Mitigating Targeted Attacks. International Conference on Information Integration and Web-based Applications & Services (iiWAS). https://doi.org/10/gnt2tw
Buhov, D., Thron, R., & Schrittwieser, S. (2016). Catch Me If You Can! Transparent Detection Of Shellcode. the 2016 International Conference on Software Security and Assurance (ICSSA). https://doi.org/10/gh3725
Pirker, M., & Nusser, A. (2016). A Work-Flow for Empirical Exploration of Security Events. 25th International Conference Companion on World Wide Web. 25th International Conference Companion on World Wide Web. https://doi.org/10/gh375h
Pirker, M., & Nusser, A. (2016). Assessment of Server State via Inter-Clone Differences. 2016 International Conference on Software Security and Assurance (ICSSA). https://doi.org/10/gh375j
Kieseberg, P., Weippl, E., & Schrittwieser, S. (2016). Forensics using Internal Database Structures. ERCIM News, 108.
Marschalek, S., Kaiser, M., Luh, R., & Schrittwieser, S. (2016). Empirical Malware Research through Observation of System Behaviour. First Workshop on Empirical Research Methods in Information Security, 467–469. https://doi.org/10/gnt2tx
Wegerer, M., & Tjoa, S. (2016). Defeating the Database Adversary Using Deception – A MySQL Database Honeypot. 2016 International Conference on Software Security and Assurance (ICSSA). https://doi.org/10/gh3745
Luh, R., Marschalek, S., Kaiser, M., Janicke, H., & Schrittwieser, S. (2016). Semantics-aware detection of targeted attacks – A survey. Journal of Computer Virology and Hacking Techniques, 1–39. https://doi.org/10/gh372z
Marschalek, S., Luh, R., Kaiser, M., & Schrittwieser, S. (2015). Classifying Malicious System Behavior using Event Propagation Trees. Proceedings of the 17th International Con- Ference on Information Integration and Web-Based Applications Services (IiWAS2015). https://doi.org/10/gh378f
Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D. A., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) - STARs (pp. 105–125). The Eurographics Association. https://doi.org/10/cwc4
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). https://doi.org/10/gh3746
Wagner, M., Aigner, W., Rind, A., Dornhackl, H., Kadletz, K., Luh, R., & Tavolato, P. (2014). Problem Characterization and Abstraction for Visual Analytics in Behavior-Based Malware Pattern Analysis. In L. Harrison (Ed.), Proceedings of the Eleventh Workshop on Visualization for Cyber Security (pp. 9–16). ACM. https://doi.org/10/cv8p
Luh, R., & Tavolato, P. (2011). Automatische verhaltensbasierte Malware-Analyse. Hackin9, 11.