"Reading Thieves’ Cant: Automatically Identifying and Understanding Dark Jargons from Cybercrime Marketplaces", by Kan Yuan, Haoran Lu, Xiaojing Liao, and XiaoFeng Wang, Indiana University Bloomington, Proceedings of the
27th USENIX Security Symposium.
August 15–17, 2018 • Baltimore, MD, USA.
"Underground communication is invaluable for understanding
cybercrimes. However, it is often obfuscated
by the extensive use of dark jargons, innocently-looking
terms like “popcorn” that serves sinister purposes (buying/selling
drug, seeking crimeware, etc.). Discovery and
understanding of these jargons have so far relied on manual
effort, which is error-prone and cannot catch up with
the fast evolving underground ecosystem. In this paper,
we present the first technique, called Cantreader, to automatically
detect and understand dark jargon..."