Research output per year
Research output per year
Michael Liljenstam, Jason Liu, David Nicol, Yougu Yuan, Guanhua Yan, Chris Grier
Research output: Contribution to conference › Paper › peer-review
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.
Original language | English (US) |
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Pages | 119-128 |
Number of pages | 10 |
DOIs | |
State | Published - 2005 |
Event | Workshop on Principles of Advanced and Distributed Simulation, PADS 2005 - Monterey, CA, United States Duration: Jun 1 2005 → Jun 3 2005 |
Other | Workshop on Principles of Advanced and Distributed Simulation, PADS 2005 |
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Country/Territory | United States |
City | Monterey, CA |
Period | 6/1/05 → 6/3/05 |
Research output: Book/Report/Conference proceeding › Conference proceeding › peer-review