#Malware Analysis

Projects

EMRESS - Making Software protection quantifiable

EMRESS develops models to quantify the strength of software protection techniques.

Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET)

The Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET) is a research institution operated by the St. Pölten University of Applied Sciences. Its mission is to explore novel techniques for detecting and mitigating targeted attacks on IT systems. The research objective is to develop a unified methodology for the detection and mitigation of this new class of cyber-threats.

SoniControl 2.0

Extending SoniControl, the first ultrasonic firewall, that detects and blocks unwanted acoustic tracking on mobile devices.

Privacy and Security in Online Advertisement

PriSAd – the project „Privacy and Security in Online Advertisement” aims at an integral analysis of privacy and security of online advertising networks.

KAVA-Time – How man and machine analyze data

Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data. New methods will take advantage of explicit expert knowledge in the Visual Analytics process of data.

Usable Privacy Box (upribox) 2

The usable privacy box (upribox) is a network tool that filters ads on all connected devices such as smartphones or laptops and ultimately protects the user’s privacy. The upribox 2.0 is even easier to use and introduces new features.

Usable Privacy Box (upribox)

The project "usable privacy box" (upribox) developes a software and creates a device that protects internet privacy and ensures data security.

Smartphone Security

This research project focuses on more or less neglected topics of cyber security (IT security) concerning smartphones, tablet-PCs and BYOD (bring your own device).

Publications

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/10.1007/s11416-018-0318-x
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 16. https://doi.org/10.1007/s00371-018-1500-3
Aigner, W., Rind, A., & Wagner, M. (2018). KAVA-Time: Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data. In Tagungsband des 12. Forschungsforum der österreichischen Fachhochschulen (FFH) 2018.
Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10.1111/cgf.13324
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Rind, A., Iber, M., & Aigner, W. (2018). Bridging the Gap Between Sonification and Visualization. In Proc. AVI Workshop on Multimodal Interaction for Data Visualization (MultimodalVis).
Luh, Robert, Temper, M., Tjoa, S., & Schrittwieser, S. (2018). APT RPG: Design of a Gamified Attacker/Defender Meta Model. In International Workshop on FORmal methods for Security Engineering.
Thür, N., Wagner, M., Schick, J., Niederer, C., Eckel, J., Luh, R., & Aigner, W. (2017). A Bigram Supported Generic Knowledge-Assisted Malware Analysis System: BiG2-KAMAS. In Proceedings of the 10th Forum Media Technology 2017 (pp. 107–115). St. Pölten: CEUR-WS.
Schick, J., Wagner, M., Thür, N., Niederer, C., Rottermanner, G., Tavolato, P., & Aigner, W. (2017). Rule Creation in a Knowledge-assisted Visual Analytics Prototype for Malware Analysis. In Proceedings of the 10th Forum Media Technology 2017 (pp. 116–123). St. Pölten: CEUR-WS.
Federico, P., Wagner, M., Rind, A., Amor-Amorós, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. In 2017 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 92–103). IEEE. https://doi.org/10.1109/VAST.2017.8585498

News

12/04/2018

The "Cyber Wild West" of digitalisation

08/30/2018

Best Presentation Award at ICSSA 2018

07/02/2018

Making software protection measurable