Detaining and avoiding mobile virus propagation by considering human behavior
Keywords:
Mobile networks, phone virus, human mobility, autonomy-oriented computing, Danger Theory, preimmunization, adaptive DisseminationAbstract
Malware, short for malicious software, is software used to disrupt computer operation, gather sensitive information, or gain access to private computer systems. Malware is designed to cause damage to a standalone computer or a networked pc. So wherever a malware term is used it means a program which is designed to damage your computer it may be a virus, worm. So, in order to overcome this problem we propose a two-layer network model for simulating virus propagation through both Bluetooth and SMS. We examine two strategies for restraining mobile virus propagation, i.e., preimmunization and adaptive dissemination strategies drawing on the methodology of autonomy-oriented computing (AOC). This method can effectively restrain virus propagation in a large-scale, dynamically evolving, and/or community based network. In order to increase the effectiveness of inhibiting the propagation of mobile phone viruses, we introduce an innovative approach called a virus detection model based on the Danger Theory. This model includes four phases: danger capture, antigen presentation, antibody generation and antibody distribution. Due to the distributed and cooperative mechanism of artificial immune system, the proposed model lowers the storage and computing consumption of mobile phones. By using this system, we can effectively inhibit and delete the virus files.
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