Abstract
”War of the worms” is a war between opposing computer worms, creating complex worm interactions. We propose a new Worm Interaction Model focusing on random-scan worm interactions. We validate our worm interaction model using extensive ns-2 simulations. This study provides the first work to characterize and investigate multiple worm interactions of random-scan worms in multi-hop networks. The main finding of this study is that maximum number of infected hosts can be drastically affected by the type of interaction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Frauenthal, J.C.: Mathematical Modeling in Epidemiology. Springer, New York (1988)
Ganesh, A., Massoulie, L., Towsley, D.: The Effect of Network Topology on the Spread of Epidemics. In: IEEE INFOCOM (2005)
Tanachaiwiwat, S., Helmy, A.: Analyzing the Interactions of Self-Propagating Codes in Multi-hop Networks, Tech. Report CS 06-884, CS Department, USC
Trend Micro Annual Virus Report (2004), http://www.trendmicro.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tanachaiwiwat, S., Helmy, A. (2006). Brief Announcement: Analyzing the Interactions of Self-propagating Codes in Multi-hop Networks. In: Datta, A.K., Gradinariu, M. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2006. Lecture Notes in Computer Science, vol 4280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49823-0_48
Download citation
DOI: https://doi.org/10.1007/978-3-540-49823-0_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49018-0
Online ISBN: 978-3-540-49823-0
eBook Packages: Computer ScienceComputer Science (R0)