{"title":"随机网络病毒传播概率模型","authors":"Y. Jiang","doi":"10.1109/WCSE.2010.9","DOIUrl":null,"url":null,"abstract":"In the network between any two computer's correspondence is stochastic, when the health and the non-health's computer corresponds whether is infected the virus is also stochastic, if has known these stochastic rules, may estimate that has how many computers to infect every day equally the virus or the probability which infects is had in a big way, the paper has studied the network virus dissemination mathematical model, has analyzed virus's dissemination mechanism, has confirmed the model feasibility.","PeriodicalId":376358,"journal":{"name":"2010 Second World Congress on Software Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Virus Transmission Probability Model of Random\",\"authors\":\"Y. Jiang\",\"doi\":\"10.1109/WCSE.2010.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the network between any two computer's correspondence is stochastic, when the health and the non-health's computer corresponds whether is infected the virus is also stochastic, if has known these stochastic rules, may estimate that has how many computers to infect every day equally the virus or the probability which infects is had in a big way, the paper has studied the network virus dissemination mathematical model, has analyzed virus's dissemination mechanism, has confirmed the model feasibility.\",\"PeriodicalId\":376358,\"journal\":{\"name\":\"2010 Second World Congress on Software Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2010.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2010.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Virus Transmission Probability Model of Random
In the network between any two computer's correspondence is stochastic, when the health and the non-health's computer corresponds whether is infected the virus is also stochastic, if has known these stochastic rules, may estimate that has how many computers to infect every day equally the virus or the probability which infects is had in a big way, the paper has studied the network virus dissemination mathematical model, has analyzed virus's dissemination mechanism, has confirmed the model feasibility.
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