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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Zhao Pingke Yi |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China (Ying Zhao; Pingke Yi) |
| Abstract | In recent years, cross-site scripting attacking usually occurred on the social networks. The attackers hide the malicious script codes in web links, and easily get personal sensitive information if someone clicks these links. This article firstly analyzes the characteristics of the social network topology and the relationships of network users, and then establishes the worm propagation model in order to draw out worm propagation procedures among network nodes. Finally some impacts, which consist of the number of online users, the probability of users click worm links, the release time of immune patches and the quantity of users installed patches on the worm propagation, are discussed. |
| Starting Page | 207 |
| Ending Page | 210 |
| File Size | 459206 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928514 |
| DOI | 10.1109/GLOCOMW.2013.6824987 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | social network cross-site scripting Network topology Social network services Computational modeling Conferences Vectors Mathematical model Grippers worm propagation model |
| Content Type | Text |
| Resource Type | Article |
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