Network virus transmission behavior modeling method

Abstract

The invention discloses a network virus transmission behavior modeling method. The method comprises a network initialization process, a virus transmission process, a node detection process, an immunization and immunization failure process, a model evaluation process and an immunization strategy proposing process. When a model runs, an infected state (I) node transmits a virus to a neighbor node at certain probability; an infectious state (S) node is infected into the infected state (I) node by the virus at the certain probability; meanwhile, the infected state (I) node is isolated at the certain probability, and becomes an isolated state (Q) node which does not have the virus transmission capacity and cannot be infected; and an immune state (R) node which cannot be infected by the virus appears in the model through treatment on the isolated state (Q) node and immunization on all nodes. The factors affecting virus transmission in the SIOR model include total node number n, average node degree <k>, initially infected node number n<0>, virus transmission rate alpha, isolating treatment rate beta and isolating recovery rate lambda; and the cured node has immune efficacy probability mu, vaccine injection rate gamma and vaccine failure rate eta. An achievable immunization strategy is proposed on the basis of these factors.

Description

technical field [0001] The invention relates to a network virus spreading behavior modeling method, which belongs to the technical field of network security. Background technique [0002] With the rapid development of network technology, computer networks are becoming more and more popular and gradually become an important link for information dissemination. Whether it is military, economic, political or cultural, sports, health and other fields of social life, and whether it is the government, enterprises or individuals, it has become more and more inseparable from the computer network. The security problem of computer network has gradually become the focus of people's attention, and the number of network attacks is increasing, and the harm is increasing, especially computer network viruses. [0003] Similar to biological viruses, viral transmission behavior can be studied through modeling. In the early 1990s, Kephart and White proposed that the spread of computer viruses...

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Problems solved by technology

[0007] Aiming at the incomplete consideration of the existing virus propagation model, the main purpose of the present invention is to provide a network virus propagation behavior modeling method with comprehensive node status and anti-virus technology factors, and at the same time, the possibility of immune failure is taken into account in the model Case

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