I am interested in the security of home-based IoT networks. Currently, I am working on applying machine learning techniques to process IoT-generated data to provide implicit authentication mechanisms. I conduct experiments in our IoT test lab, MON(IOT)R.
I am also working on large scale malware detection systems, specifically focusing on self-propagating malware.
I am also interested in automated vulnerability discovery and fuzzing. We are investigating methods combining machine-learning based static analysis to guide the fuzzing process to make it more efficient.
Prior to joining Northeastern, I was a software developer at SAP, working on SAP VORA, a distributed in-memory database solution on Hadoop data.