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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sancheng Peng Guojun Wang Shui Yu |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia (Shui Yu) || Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China (Sancheng Peng; Guojun Wang) |
| Abstract | Smartphones have become an integral part of our everyday lives, such as online information accessing, SMS/MMS, social networking, online banking, and other applications. The pervasive usage of smartphones also results them in enticing targets of hackers and malware writers. This is a desperate threat to legitimate users and poses considerable challenges to network security community. In this paper, we model smartphone malware propagation through combining mathematical epidemics and social relationship graph of smartphones. Moreover, we design a strategy to simulate the dynamic of SMS/MMS-based worm propagation process from one node to an entire network. The strategy integrates infection factor that evaluates the propagation degree of infected nodes, and resistance factor that offers resistance evaluation towards susceptible nodes. Extensive simulations have demonstrated that the proposed malware propagation model is effective and efficient. |
| Starting Page | 196 |
| Ending Page | 201 |
| File Size | 276909 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550220 |
| DOI | 10.1109/TrustCom.2013.28 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-16 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smartphones Bluetooth Social network services Propagation model Mobile communication Malware Mobile handsets Social relationship graph Mobile malware Mathematical model Grippers SMS/MMS |
| Content Type | Text |
| Resource Type | Article |
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