中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 60-66.doi: 1005-8885 (2008) 02-0060-07

• Artificial Intelligence • 上一篇    下一篇

Commwarrior worm propagation model for smart phone networks

夏玮   

  1. College of Information Technical Science, Nankai University,
    Tianjin 300071, China
  • 收稿日期:2007-08-13 修回日期:1900-01-01 出版日期:2008-06-30
  • 通讯作者: 夏玮

Commwarrior worm propagation model for smart phone networks

XIA Wei, LI Zhao-hui, CHEN Zeng-qiang, YUAN Zhu-zhi   

  1. College of Information Technical Science, Nankai University,
    Tianjin 300071, China
  • Received:2007-08-13 Revised:1900-01-01 Online:2008-06-30
  • Contact: XIA Wei

摘要:

Commwarrior worm is capable of spreading through both Bluetooth and multimedia messaging service (MMS) in smart phone networks. According to the propagation characteristics of Bluetooth and MMS, we built the susceptible- exposed-infected-recovered-dormancy (SEIRD) model for the Bluetooth and MMS hybrid spread mode and performed the stability analysis. The simulation results show good correlation with our theoretical analysis and demonstrate the effectiveness of this dynamic propagation model. On the basis of the SEIRD model, we further discuss at length the influence of the propagation parameters such as user gather density in groups, moving velocity of smart phone, the time for worm to replicate itself, and other interrelated parameters on the propagation of the virus. On the basis of these analytical and simulation results, some feasible control strategies will be proposed to restrain the spread of mobile worm such as commwarrior on smart phone network.

关键词:

smart;phone,;virus,;spreading;model,;Bluetooth,;MMS;

Abstract:

Commwarrior worm is capable of spreading through both Bluetooth and multimedia messaging service (MMS) in smart phone networks. According to the propagation characteristics of Bluetooth and MMS, we built the susceptible- exposed-infected-recovered-dormancy (SEIRD) model for the Bluetooth and MMS hybrid spread mode and performed the stability analysis. The simulation results show good correlation with our theoretical analysis and demonstrate the effectiveness of this dynamic propagation model. On the basis of the SEIRD model, we further discuss at length the influence of the propagation parameters such as user gather density in groups, moving velocity of smart phone, the time for worm to replicate itself, and other interrelated parameters on the propagation of the virus. On the basis of these analytical and simulation results, some feasible control strategies will be proposed to restrain the spread of mobile worm such as commwarrior on smart phone network.

Key words:

smart phone;virus;spreading model;Bluetooth;MMS

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