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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qiang Wei Ming Ren Guoqing Chen |
| Copyright Year | 2009 |
| Abstract | These years have witnessed the growing impact of worms that target mobile phones, which attracts more and more research interests and applicable focuses. Traditionally, SI model is used to analyze the dynamics of the worm propagation, which adopts the “random surfer” hypothesis. However, the contact social network of a mobile phone population is static and fixed in a short propagation period, which means the traditional SI model will overestimate the worm propagation dynamics. This paper will explore the dynamics of SI model based on a static contact network using social network analysis method. Theoretic analysis and simulated experiments show that the Traditional SI model overestimates worm propagation dynamics even in the worst contact network structure. |
| Starting Page | 290 |
| Ending Page | 295 |
| File Size | 364642 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769536910 |
| DOI | 10.1109/ICMB.2009.56 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile handsets Social network services Computer worms Conference management Engineering management Computer hacking Computer networks Analytical models Computer viruses Invasive software SI model social network worm propagation |
| Content Type | Text |
| Resource Type | Article |
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