EuroVisSTAR2015

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https://diglib.eg.org/handle/10.2312/12464

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Browsing EuroVisSTAR2015 by Subject "H.5.2 [Information Interfaces and Presentation]"

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    The State of the Art in Visualizing Group Structures in Graphs
    (The Eurographics Association, 2015) Vehlow, Corinna; Beck, Fabian; Weiskopf, Daniel; R. Borgo and F. Ganovelli and I. Viola
    Graph visualizations encode relationships between objects. Abstracting the objects into group structures provides an overview of the data. Groups can be disjoint or overlapping, and might be organized hierarchically. However, the underlying graph still needs to be represented for analyzing the data in more depth. This work surveys research in visualizing group structures as part of graph diagrams. A particular focus is the explicit visual encoding of groups, rather than only using graph layout to implicitly indicate groups. We introduce a taxonomy of visualization techniques structuring the field into four main categories: visual node attributes vary properties of the node representation to encode the grouping, juxtaposed approaches use two separate visualizations, superimposed techniques work with two aligned visual layers, and embedded visualizations tightly integrate group and graph representation. We discuss results from evaluations of those techniques as well as main areas of application. Finally, we report future challenges based on interviews we conducted with leading researchers of the field.
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    A Survey of Visualization Systems for Malware Analysis
    (The Eurographics Association, 2015) Wagner, Markus; Fischer, Fabian; Luh, Robert; Haberson, Andrea; Rind, Alexander; Keim, Daniel A.; Aigner, Wolfgang; R. Borgo and F. Ganovelli and I. Viola
    Due 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.