Network virus transmission behavior modeling method

A modeling method and network virus technology, applied in the field of network virus propagation behavior modeling, can solve problems such as incomplete consideration of virus propagation model and immune failure.

Active Publication Date: 2016-02-24
HOHAI UNIV
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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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Embodiment Construction

[0038] The accompanying drawings disclose a technical solution of the present invention without limitation, and the technical solutions of the embodiments involved in the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] according to Figure 1-4 , a modeling method for simulating network virus spreading behavior, is characterized in that, comprises the following steps:

[0040] Step (1), network initialization, the specific parameters are as follows:

[0041] The total number of nodes n, the average node degree , the initial number of infected nodes n 0 , the virus transmission rate α, the isolation treatment rate β, the isolation cure rate λ, the probability of the cured node having immune efficacy μ, the vaccination rate γ, and the vaccine failure rate η; and the nodes in the network have four states, the infectious state (S ), Infected state (I), Isolated state (Q), Immune state (R), among them, nodes in...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1416H04L63/145
Inventor 徐淑芳黄倩王慧斌毛莺池刘阳石丹胡敏徐岑卢苗
Owner HOHAI UNIV
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