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Internet Worm Simulation using Map/Reduce | by Brandon Haynes and Charles Li

by Brandon Haynes and Charles Li

http://www.wormsimulator.info/

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th●●●●●@gmail.com

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Internet Worm Simulation using Map/Reduce | by Brandon Haynes and Charles Li | wormsimulator.info Reviews
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by Brandon Haynes and Charles Li
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3 architecture
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5 results
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7 works cited
8 purpose
9 high level overview
10 what’s available
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Internet Worm Simulation using Map/Reduce | by Brandon Haynes and Charles Li | wormsimulator.info Reviews

https://wormsimulator.info

by Brandon Haynes and Charles Li

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Works Cited | Internet Worm Simulation using Map/Reduce

http://www.wormsimulator.info/workscited

Internet Worm Simulation using Map/Reduce. By Brandon Haynes and Charles Li. Skip to primary content. Anagnostakis, Kostas, Michael B. Greenwald, Sotiris Loannidis, and Angelos D. Keromytis. “COVERAGE: Detecting and Reacting to Worm Epidemics Using Cooperation and Validation.”. International Journal of Information Security. 2007): Web. Link. Lin, Jimmy and Michael Schatz. “Design Patterns for Efficient Graph Algorithms in MapReduce.” University of Maryland. 2010. Web. Link. Security and Privacy, IEEE.

2

Results | Internet Worm Simulation using Map/Reduce

http://www.wormsimulator.info/results

Internet Worm Simulation using Map/Reduce. By Brandon Haynes and Charles Li. Skip to primary content. In this section we explore the performance characteristics of our software by algorithm type (unoptimized and Schimmy) and discuss our experiences with infection propagation over time. Propagation Times: Naive Versus Schimmy. Speedup Analysis by Algorithm. The results of our testing reveal a significant speedup for the Schimmy design pattern (explained in Architecture. First, there is a fixed cost associ...

3

Simulation-Based Internet Worm Propagation | Internet Worm Simulation using Map/Reduce

http://www.wormsimulator.info/2011/08/01/hello-world

Internet Worm Simulation using Map/Reduce. By Brandon Haynes and Charles Li. Skip to primary content. Simulation-Based Internet Worm Propagation. August 1, 2011. The propagation of Internet worms has been historically modeled using formulaic techniques. While these approaches yield results that do match historical trends, they frequently make significant generalizations about network topology (e.g. uniform link speeds, no inaccessible sub-networks). A simulation-based approach may yield i...

4

Discussion | Internet Worm Simulation using Map/Reduce

http://www.wormsimulator.info/discussion

Internet Worm Simulation using Map/Reduce. By Brandon Haynes and Charles Li. Skip to primary content. Assuming that these subsequent optimizations are attempted, it remains an open question of whether they will make a significant difference in performance under saturated network conditions as the number of infection attempts approaches the total number of targetable nodes. Partitions to each reducer. This has clear performance implications when the number of partitions is high (e.g. an 8-inst...Similarly...

5

Internet | Internet Worm Simulation using Map/Reduce

http://www.wormsimulator.info/tag/internet

Internet Worm Simulation using Map/Reduce. By Brandon Haynes and Charles Li. Skip to primary content. Skip to secondary content. Simulation-Based Internet Worm Propagation. August 1, 2011. The propagation of Internet worms has been historically modeled using formulaic techniques. While these approaches yield results that do match historical trends, they frequently make significant generalizations about network topology (e.g. uniform link speeds, no inaccessible sub-networks). A simulation...

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