Title: Network Resilience to Attack and Disaster
Abstract:
Traditional network design can compensate for a small number of node
and link failures, but cannot handle attacks or failures on a massive
scale. These massive-scale phenomena may be due to malicious behavior
in the network, such as a denial of service attack, or due to
disaster, such as an emergency sensor network deployed in a
catastrophic location such as a fire or flood. A primary focus of our
research has been to design or enhance routing protocols so that they
are more resilient to these massive-scale challenges. The talk will
first cover the Secure Overlay Services (SOS) architecture we proposed
that utilizes network overlays to proactively protect targeted
Internet sites from distributed denial of service (DDoS) attacks.
Next, we will explore the problem of maximizing the amount of data
that can be extracted to a base-station from a sensor network whose
nodes are undergoing rapid failures. We develop a novel distributed
network coding technique and demonstrate how, in a massive failure
setting, our coding/routing technique outperforms prior state-of-the-art. I
will finish the talk with a brief run-through of other projects that
our lab has focused on.
Biography:
Dan Rubenstein is an Associate Professor of Electrical Engineering and Computer Science at Columbia University. He received a B.S. degree in mathematics from M.I.T., an M.A. in math from UCLA, and a PhD in computer science from University of Massachusetts, Amherst. His research interests are in network technologies, applications, and performance analysis, with a substantial emphasis on resilient and secure networking, distributed communication algorithms, and overlay technologies. He has received an NSF CAREER Award, an IBM Faculty Award, the Best Student Paper award from the ACM SIGMETRICS 2000 conference, and a Best Paper award from the IEEE ICNP 2003 Conference.