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A knowledge-assisted visual malware analysis system: Design, validation, and reflection of KAMAS

Markus Wagner, Alexander Rind, Niklas Thür, Wolfgang Aigner
2017 Computers & security  
To close this gap, we designed and developed KAMAS, a knowledge-assisted visualization system for behavior-based malware analysis.  ...  KAMAS supports malware analysts with visual analytics and knowledge externalization methods for the analysis process.  ...  Many thanks to our collaboration partners and our study participants as well to Christina Niederer for her feedback to our manuscript and her support.  ... 
doi:10.1016/j.cose.2017.02.003 fatcat:wcswus7umbfaxlyvszy6srbwbu

SEQUIN: a grammar inference framework for analyzing malicious system behavior

Robert Luh, Gregor Schramm, Markus Wagner, Helge Janicke, Sebastian Schrittwieser
2018 Journal in Computer Virology and Hacking Techniques  
Targeted attacks on IT systems are a rising threat to the confidentiality of sensitive data and the availability of critical systems.  ...  To facilitate the interpretation and analysis of APTs, we present SEQUIN, a grammar inference system based on the Sequitur compression algorithm that constructs a context-free grammar (CFG) from string-based  ...  Fig. 6 6 Illustration of the Knowledge-assisted Malware Analysis System (KAMAS) designed to support malware analysts in their work.  ... 
doi:10.1007/s11416-018-0318-x fatcat:mx2ivpzxwnce5d3gp2myf6qrqe

KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis [article]

Markus Wagner, Brian Horsak, Wolfgang Aigner St. Poelten University of Applied Sciences, Austria,
2017 arXiv   pre-print
We conducted a design study in cooperation with gait analysis experts to develop a novel Knowledge-Assisted Visual Analytics solution for clinical Gait analysis (KAVAGait).  ...  We validated our system by conducting expert reviews, a user study, and a case study.  ...  Austria, Dep. of Science and Research ("IntelliGait" LSC14-005).  ... 
arXiv:1707.06105v2 fatcat:5lzk67rpsnh2nnhuer2rksko4a