@inproceedings{9c2d2e97685e46a38242251b5ec3bb94,
title = "STARLORD: Linked security data exploration in a 3D graph",
abstract = "In this paper, we present a novel model 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 datasets containing network capture of the wannacry attack.",
keywords = "Forensics, Intrusion Detection, Logs Management",
author = "Laetitia Leichtnam and Eric Totel and Nicolas Prigent and Ludovic Me",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE Symposium on Visualization for Cyber Security, VizSec 2017 ; Conference date: 02-10-2017",
year = "2017",
month = oct,
day = "6",
doi = "10.1109/VIZSEC.2017.8062203",
language = "English",
series = "2017 IEEE Symposium on Visualization for Cyber Security, VizSec 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
editor = "Paul, \{Celeste Lyn\} and Simon Walton and Robert Gove and Sophie Engle and Diane Staheli and Lane Harrison and Nicolas Prigent",
booktitle = "2017 IEEE Symposium on Visualization for Cyber Security, VizSec 2017",
}