Name
Abstract | ||
|---|---|---|
In recent years, fast spreading worms, such as Code Red, Slammer, Blaster and Sasser, have become one of the major threats to the security of the Internet. In order to defend against future worms, it is important to first understand how worms propagate and how different scanning strategies affect worm propagation dynamics. In this paper, we systematically model and analyze worm propagation under various scanning strategies, such as uniform scan, routing scan, hit-list scan, cooperative scan, local preference scan, sequential scan, divide-and-conquer scan, target scan, etc. We also provide an analytical model to accurately model Witty worm's destructive behavior. By using the same modeling framework, we reveal the underlying similarity and relationship between different worm scanning strategies. In addition, based on our simulation and analysis of Blaster worm propagation and monitoring, we provide a guideline for building a better worm monitoring infrastructure. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.peva.2005.07.032 | Performance Evaluation |
Keywords | DocType | Volume |
worm modeling,worm scanning strategy,analytical model,network monitoring,network security,internet worm,blaster worm propagation,future worm,worm propagation,systematically model,better worm monitoring infrastructure,worms propagate,model witty worm,worm propagation dynamic,different worm | Journal | 63 |
Issue | ISSN | Citations |
7 | Performance Evaluation | 106 |
PageRank | References | Authors |
6.34 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cliff C. Zou | 1 | 1475 | 116.93 |
| Don Towsley | 2 | 18693 | 1951.05 |
| Weibo Gong | 3 | 3225 | 250.70 |