Data-driven Network and cyber Security (DANS) Lab

Research

• 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.

Students

Graduate Students

• Kushankur Ghosh (with Joerg Sander), PhD Student, Winter 2024 -

• Mark Holmstrom, MSc Student , Winter 2024 -

• Abdullah Al Omar, MSc Student (with Omid Ardakanian), Winter 2023 - Present

Undergraduate Students

• Wenhao You, Undergraduate Student, Winter 2024 -

• Prateek Annam, Undergraduate Student , Fall 2023 -

RA

• Anisha Sethumadhavan, RA (Received B.Sc. from UA), Winter 2024