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"Even Anonymous Coders Leave Fingerprints" - Associate Professor Rachel Greenstadt Featured in Wired

Artwork by Casey Chin

Artwork by Casey Chin

September 7, 2018

Research by Rachel Greenstadt, PhD, an associate professor of computer science in the College of Computing & Informatics (CCI), was featured in an August 10 Wired article. Greenstadt, along with Aylin Caliskan, Greenstadt's former PhD student and now an assistant professor at George Washington University, developed a program that can identify anonymous computer coders by analyzing characteristics of their coding style. Greenstadt and Caliskan presented their findings during a session at DEF CON 26, held in Las Vegas from August 9-12, 2018, where it gained attention from the cybersecurity community. 

Caliskan and Greenstadt say their work could be used to tell whether a programming student plagiarized, or whether a developer violated a noncompete clause in their employment contract. Security researchers could also potentially use it to help determine who might have created a specific type of malware.

Read the full article at this link: https://www.wired.com/story/machine-learning-identify-anonymous-code/