Intelligent Network Measurement for Diagnosis and Attack Defenses

Measurement is a powerful and indispensable technique for discovering the state of the network and for assisting operational management of networked systems to ensure good performance and security properties. Designing the effective measurement technique depending on the problem context is especially challenging for Internet-based systems due to issues such as a lack of access, overhead concerns, and measurement noise. In this talk, I present our experience in designing and deploying measurement systems for several important applications, e.g., diagnosing routing performance disruptions and prefix hijacking attacks from end systems, uncovering spammer behavior through campaign-based analysis, and detecting network neutrality violation in backbone ISPs. I will summarize lessons learned and discuss our future work on applying intelligent measurement to relatively new application domains such as data cellular networks and data center systems.

Bio:
Z. Morley Mao is an assistant professor of Computer Science and Engineering at the University of Michigan. Morley received most of her degrees (Ph.D., M.S., and B.S.) from the University of California at Berkeley. She is a recipient of the NSF CAREER award in 2007, an IBM Faculty Award in 2008, Sloan Research Fellowship in 2009, and was recently named the Morris Wellman Faculty Development Professor at Michigan. Her research interests encompass network measurements, routing protocols, distributed systems, and network security.