Stephan Eidenbenz

Los Alamos National Laboratory


Lecture Information:
  • April 24, 2024
  • 12:14 PM
  • PG5: 134

Speaker Bio

Stephan Eidenbenz is a computer scientist at Los Alamos National Laboratory. He leads research projects in cyber security, computational codesign, performance prediction of super computers, and process modeling, most of which have a focus on modeling and simulation. Stephan obtained his PhD from the Swiss Federal Institute of Technology, Zurich (ETHZ) in Computer Science. He has made research contributions in many areas of computer science, including cyber security, critical infrastructure modeling, communication networks, computational codesign, scalable modeling and simulation, and theoretical computer science. Stephan’s current focus is on simulations for emerging cyber security problems.

Stephan has published his work in about 100 peer-reviewed articles and he has served the community through membership in more than 70 technical program committees of conferences. He recently served as the Track Chair for “Cyber Security and Network Management” at IEEE MILCOM 2011, chaired the 2011 SimuTools program committee, and was the guess editor of a Special issue of the Computer Networks Journal (COMNET) titled “Towards a Science of Cyber Security”. Stephan is also an active proposal reviewer at NSF and DTRA panels.

Abstract

Although simulation has firmly established itself as a pillar in the scientific process, it often remains a challenge to define the role of modeling and simulation in newly emerging fields such as cyber science. The talk will give a context of where simulation stands in cyber security from a theoretical and applied point of view. The key take-away: many open research challenges remain in particular with respect to integrating the human element of cyber operations.
In order to illustrate these challenges, I will describe models for cyber operations that we have developed at LANL. These include models for botnet operations, criticality of network assets, and online social network behavior.