Akul Goyal

PhD Student

Akul Goyal is a PhD student in the Computer Science Department at the University of Illinois at Urbana-Champaign. He is currently being advised under Professor Adam Bates. Akul’s research interests are focused on data provenance and anomaly detection. In the past, Akul has worked with Professor Yang Liu in the area of noise resistant machine learning and Professor Sesh Comandur in combinatorial graph counting algorithms. Akul obtained his MS and BS at the University of California Santa Cruz in 2019.

Papers published with the STS Lab

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions

Sometimes, You Aren't What You Do: Mimicry Attacks against Provenance Graph Host Intrusion Detection Systems

FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput