@inproceedings{e9ba5095913845dabf11c367e5fcedda,
title = "Visualizing a Malware Distribution Network",
abstract = "In this paper, we present a case study of visual analytics of a Malware Distribution Network (MDN), a connected set of maliciously compromised domains used to disseminate malicious software to victimize computers and users. We formally define the graph of an MDN to visualize top-level-domain (TLD) data collected from Google Safe Browsing reports in a temporal manner characterizing the topological structure. From the collected data, we were able to identify and label a TLD's role in malware distribution. The visual analytics provided insights on the topological structure of MDNs over time including highly connected and persistent TLDs and subnetworks.",
keywords = "Google Safe Browsing, behavioral graph, malware, malware distribution network, top-level domain, visualization",
author = "Sebastian Peryt and {Andre Morales}, Jose and William Casey and Aaron Volkmann and Bud Mishra and Yang Cai",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016 ; Conference date: 24-10-2016",
year = "2016",
month = nov,
day = "8",
doi = "10.1109/VIZSEC.2016.7739585",
language = "English (US)",
series = "2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Diane Staheli and Lane Harrison and Nicolas Prigent and Best, {Daniel M.} and Sophie Engle",
booktitle = "2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016",
}