RINSE: The Real-Time Immersive Network Simulation Environment for Network Security Exercises

  • Authors:
  • Michael Liljenstam;Jason Liu;David Nicol;Yougu Yuan;Guanhua Yan;Chris Grier

  • Affiliations:
  • University of Illinois at Urbana-Champaign;Colorado School of Mines;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign

  • Venue:
  • Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The RINSE simulator is being developed to support large-scale network security preparedness and training exercises, involving hundreds of players and a modeled network composed of hundreds of LANs. The simulator must be able to present a realistic rendering of network behavior as attacks are launched and players diagnose events and try counter measures to keep network services operating. We describe the architecture and function of RINSE and outline how techniques like multiresolution traffic modeling and new routing simulation methods are used to address the scalability challenges of this application. We also describe in more detail new work on CPU/memory models necessary for the exercise scenarios and a latency absorption technique that will help when extending the range of client tools usable by the players.