DocumentCode
3740386
Title
Epidemiological modeling of network worm infections and countermeasures
Author
Khurram Shahzad;Steve Woodhead
Author_Institution
Internet Security Research Laboratory, Department of Engineering Science, University of Greenwich, Chatham, UK
fYear
2015
Firstpage
628
Lastpage
633
Abstract
Fast spreading network worms continue to pose a threat to the Internet due to their virulence, speed and the continuous discovery of wormable vulnerabilities. Mathematical models for worm propagation can help us to understand the epidemiology of worm outbreaks and to devise effective defense mechanisms. In this paper, we report the epidemiological modeling and analysis of worm propagation and a distributed worm detection and prevention countermeasure. The work is based on the Slammer and Witty worm characteristics and employs the widely used Susceptible-Infected biological model. The epidemiological modeling shows that the SI model can be used to represent the virulence of random scanning worms and to quantify the effectiveness of worm countermeasures.
Keywords
"Grippers","Logic gates","Limiting","Analytical models","Yttrium","Frequency locked loops","Computational modeling"
Publisher
ieee
Conference_Titel
Intelligent Computing and Information Systems (ICICIS), 2015 IEEE Seventh International Conference on
Print_ISBN
978-1-5090-1949-6
Type
conf
DOI
10.1109/IntelCIS.2015.7397288
Filename
7397288
Link To Document