A Data-Driven Approach to Enhancing Internet’s Robustness

Professor Ram Durairajan
Date and time: 
Thu, Oct 13 2022 - 12:00pm
220 Deschutes
Ram Durairajan
University of Oregon
  • Reza Rejaie

Several trends indicate that the Internet has become exposed to a myriad of natural disasters, performance issues, and cyberattacks, resulting in a loss of connectivity for several constituents (e.g., end users, enterprises, governments) of society. However, despite being designated as "critical" infrastructure and several past/ongoing efforts to protect the infrastructure by the constituents notwithstanding, we lack an in-depth understanding of the Internet's complexity (e.g., traffic), and systems to alleviate performance issues, natural disasters, and terabit DDoS attacks. In light of these pain points, this talk has two themes: (i) measuring the Internet, one network at a time, to understand its complexity; and (ii) using the data-driven insights from the measurements to build systems to improve the Internet’s robustness.


Ram Durairajan is an Assistant Professor in the Department of Computer Science, and co-directs the Oregon Networking Research Group (ONRG) at the University of Oregon. Ram is currently leading a team of super-talented graduate and undergraduate students in federal, university, and industry research projects totaling over $4 Million. He has published over 50 peer-reviewed papers in various conferences, journals, and workshops. His research has been recognized with several awards including the NSF CAREER award, NSF CRII award, Ripple faculty fellowship, UO faculty research award, best paper awards from ACM CoNEXT and ACM SIGCOMM GAIA, and has been covered in several fora (NYTimes, MIT Technology Review, Popular Science, Boston Globe, Gizmodo, Mashable, among others). Recently, his research on Internet topology has been named as "One of the 100 Greatest Innovations" and has won a number of awards including the "Best of What's New" (in security category) by the Popular Science Magazine. Ram earned his Ph.D. and M.S. degrees in Computer Sciences from the University of Wisconsin - Madison and his B.Tech. in Information Technology from the College of Engineering, Guindy (CEG), Anna University.