Cyber Attribution from Topological Patterns

2020
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Authors: Yang Cai; Jose Andre Morales; Guoming Sun
Published in: Computational Science – ICCS 2020
Publisher: Springer International Publishing

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Abstract

We developed a crawler to collect live malware distribution network data from publicly available sources including Google Safe Browser and VirusTotal. We then generated a dynamic graph with our visualization tool and performed malware attribution analysis. We found: 1) malware distribution networks form clusters rather than a single network; 2) those cluster sizes follow the Power Law; 3) there is a correlation between cluster size and the number of malware species in the cluster; 4) there is a correlation between the number of malware species and cyber events; and finally, 5) infrastructure components such as bridges, hubs, and persistent links play significant roles in malware distribution dynamics.

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Metadata
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Title: Cyber Attribution from Topological Patterns
Authors: Yang Cai
Jose Andre Morales
Guoming Sun
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2020
Print ISBN: 978-3-030-50432-8

Electronic ISBN: 978-3-030-50433-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-50433-5_5

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