Friday, October 26 @ 2:35pm in Wege Auditorium (TCL 123)
Computer Science Colloquium – “Tracking Bitcoins in Criminal Operations”
Bitcoin is a crypto-currency that enables peer-to-peer payments in a way that is partially anonymous and which requires no central authorities. These features are attractive to many criminals, as it is difficult to track and shut down Bitcoin payments — difficult, but not impossible. In this talk, I present novel approaches to trace the flow of bitcoins in two types of criminal operations: (i) botnets that monetized CPU cycles through mining [NDSS ’14]; and (ii) ransomware, which encrypts files and demands bitcoins in exchange for decryption keys [IEEE S&P ’18]. In tracking bitcoin flows, I show how to estimate the revenue of criminal operations and measure the impact on victims.
Danny Y. Huang ’11 is currently a postdoc at Princeton’s Dept of Computer Science. He works with Nick Feamster and Arvind Narayanan. He is broadly interested in the economics of security/privacy issues, especially in crypto-currencies and Internet-of-Things. He obtained his PhD in Computer Science from UC San Diego in 2017 and graduated from Williams College in 2011, where he was advised by Jeannie Albrecht. For details, see https://www.cs.princeton.edu/~yuxingh/.