We work on various topics in data-driven network and cyber security. In the ever-evolving cyber threat landscape, we are dedicated to developing cutting-edge cyber security solutions for recent cyber threats. Recent research topics include security in federated learning, compromised entity detection in mobile networks and enterprise logs, malicious domain detection, phone fraud, spam detection in online forums, and attack/defenses against machine learning models. We are always looking for highly motivated students who are passionate about data-driven cybersecurity research. If you are interested in our group, read this instruction.
Graduate Students
Kushankur Ghosh (with Joerg Sander), PhD Student, Winter 2024 - Present, Homepage
Wenhao You, MSc Student (University of Waterloo), Fall 2024 - Present
Mark Holmstrom, MSc Student, Winter 2024 - Present
Undergraduate Students
Kian Kyars, Undergraduate Student, Fall 2024 - Present
Prateek Annam, Undergraduate Student , Fall 2023 - Present
RA
Anisha Sethumadhavan, RA (Received B.Sc. from UA), Winter 2024
Graduate Students
Abdullah Al Omar (with Omid Ardakanian), MSc Student, Winter 2023 - Fall 2024, Homepage
MSc Thesis: "Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption"
Undergraduate Students
Wenhao You, Undergraduate Student, Winter 2024 -> MSc student at University of Waterloo