A Hierarchical Virus Immunization Method for Community Networks
Due to the enormous harm of virus propagation,the research of virus immunization becomes important.Current researches mainly tend to analyze the relationship between the structure of complex networks or behaviors of viruses and virus propagation or immunization,they rarely do research in community networks and also ignore the influence of external factors on the spread of viruses.A few researches of community networks have some disadvantages yet,like:the structure of the whole network is needed and the situation of uneven communities is not applicable.Therefore,considering the process of computer viruses propagation,the susceptible-infectious-recovered(SIR) model is improved,and the susceptible-infectious-recovered and susceptible-recovered(SIRSR) model is put forwarded,the model is a transmission dynamic model can better describe the state change of computer viruses.And then based on the model,a hierarchical virus immunization method(HVIM) is designed.HVIM is scalable and suitable for parallel computing the requirement of big data era.Finally,a simulation dataset and a real dataset are used to run experiments,and the results of simulation show that HVIM obviously is superior to others on the aspect of immunity.
Community Networks Virus Propagation Hierarchical Virus Immunization
国内会议
湖北恩施
英文
1-9
2014-09-13（万方平台首次上网日期，不代表论文的发表时间）