I study the economics of Internet abuse.

I am a computer science PhD student at University of California, San Diego, USA. I am interested in how abusive actors on the Internet make money — especially involving crypto-currencies like Bitcoin.


I am advised by Alex C. Snoeren and Kirill Levchenko, and I am a part of CESR and Systems/Networking Group.


I obtained my undergraduate degree from Williams College, MA. My advisor was Jeannie Albrecht.

Select Publications

Pinning Down Abuse on Google Maps

Danny Yuxing Huang, Doug Grundman, Kurt Thomas, Abhishek Kumar, Elie Bursztein, Kirill Levchenko, Alex C. Snoeren.

International World Wide Web Conference (WWW). Perth, Australia. April, 2017.

Botcoin: Monetizing Stolen Cycles

Danny Yuxing Huang, Hitesh Dharmdasani, Sarah Meiklejohn, Vacha Dave, Chris Grier, Damon McCoy, Stefan Savage, Nicholas Weaver, Alex C. Snoeren, Kirill Levchenko.

Network and Distributed System Security Symposium (NDSS). San Diego, CA. February 2014.

Full Text | Slides | Poster | National Public Radio (San Diego) | Reuters

Framing Dependencies Introduced by Underground Commoditization

Kurt Thomas, Danny Yuxing Huang, David Wang, Elie Bursztein, Chris Grier, Thomas J. Holt, Christopher Kruegel, Damon McCoy, Stefan Savage, Giovanni Vigna.

Workshop on the Economics of Information Security (WEIS). The Netherlands. June 2015.

Full Text | Wired Magazine

Stressing Out: Bitcoin "Stress Testing"

Khaled Baqer, Danny Yuxing Huang, Nicholas Weaver, Damon McCoy.

The Third Workshop on Bitcoin and Blockchain Research. Barbados. February 2016.

Full Text

Work-in-progress

Economics of Ransomware

Ransomware costs victims millions of dollars. By analyzing a wide variety of ransomware, we try to understand the economics of ransomware: What is the revenue for different ransomware families? Where were the victims? What fraction of the victims paid?

Profitability of Alternative Crypto-currencies

There are thousands of alternative crypto-currencies (also known as "altcoins") that are simply clones of Bitcoin. Many of them have volatile prices and small market caps. In this project, we study the profitability of different players in the altcoin economy. We develop a technique to estimate the cost of mining. Using simulations, we estimate the max/min profits for miners and speculators under different investment strategies.