Title
On The Performance Of Internet Worm Scanning Strategies
Keywords
Network monitoring; Network security; Worm modeling; Worm scanning strategy
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. © 2005 Elsevier B.V. All rights reserved.
Publication Date
7-1-2006
Publication Title
Performance Evaluation
Volume
63
Issue
7
Number of Pages
700-723
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.peva.2005.07.032
Copyright Status
Unknown
Socpus ID
33646150900 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33646150900
STARS Citation
Zou, Cliff C.; Towsley, Don; and Gong, Weibo, "On The Performance Of Internet Worm Scanning Strategies" (2006). Scopus Export 2000s. 8311.
https://stars.library.ucf.edu/scopus2000/8311