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A Danger Theory Based Mobile Virus Detection Model and Its Application in Inhibiting Virus

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  • Mobile Network
  • Virus Detection
  • Artificial Immune System
  • Danger Theory
  • Computer Science


According to the propagation and destruction characteristics of mobile phone viruses, a virus detection model based on the Danger Theory is proposed. This model includes four phases: danger capture, antigen presentation, antibody generation and antibody distribution. In this model, local knowledge of mobile phones is exploited by the agents that are running in mobile phones to discover danger caused by viruses. The Antigen Presenting Cells (APCs) present the antigen from mobile phones in the danger zone, and the Decision Center confirms the infection of viruses. After the antibody is generated by self-tolerating using the negative selection algorithm, the Decision Center distributes the antibody to mobile phones. Due to the distributed and cooperative mechanism of artificial immune system, the proposed model lowers the storage and computing consumption of mobile phones. The simulation results show that based on the mobile phone virus detection model, the proposed virus immunization strategy can effectively inhibit the propagation of mobile phone viruses.

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