A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
In this paper, we present a novel modelization and visualization approach for heterogeneous sources of data. We represent our data by using a model inspired by STIX. Then, we use clustering algorithms to select interesting information to explore in a visualization panel. The visualization is based on a 3D graph representation that highlights the link between malicious event and allows to focus on relevant security artifacts. We illustrate our approach with two case studies using datasetsdoi:10.1109/vizsec.2017.8062203 dblp:conf/vizsec/LeichtnamTPM17 fatcat:nvd44zohsjge7lftap5yi3365e