TitleA Survey of Visualization Systems for Malware Analysis
Publication TypeConference Paper
Year of Publication2015
AuthorsWagner, M., F. Fischer, R. Luh, A. Haberson, A. Rind, D. A. Keim, and W. Aigner
EditorBorgo, R., F. Ganovelli, and I. Viola
Conference NameEurographics Conference on Visualization (EuroVis) - STARs
Pages105-125
Date Published05/2015
PublisherThe Eurographics Association
Conference LocationCagliari (Sardinia / Italy)
Keywordsinformation visualization, KAVA-Time, malicious software, malware, Model/Taxonomy, survey, taxonomy, Time-Oriented Data, Visual analytics
AbstractDue to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware, the actual analysis of the ever-increasing number of suspicious samples is a time-consuming process for malware analysts. The use of visualization and highly interactive visual analytics systems can help to support this analysis process with respect to investigation, comparison, and summarization of malware samples. Currently, there is no survey available that reviews available visualization systems supporting this important and emerging field. We provide a systematic overview and categorization of malware visualization systems from the perspective of visual analytics. Additionally, we identify and evaluate data providers and commercial tools that produce meaningful input data for the reviewed malware visualization systems. This helps to reveal data types that are currently underrepresented, enabling new research opportunities in the visualization community.
URLhttp://mc.fhstp.ac.at/sites/default/files/publications/wagner_2015_eurovis_star_malwarevis_postprint_reduced.pdf
DOI10.2312/eurovisstar.20151114
Refereed DesignationRefereed