{"title":"具有出生率和死亡率的延迟蠕虫传播模型的分岔","authors":"Yu Yao, N. Zhang, Fu-xiang Gao, Ge Yu","doi":"10.1109/ICSAI.2012.6223326","DOIUrl":null,"url":null,"abstract":"In this paper, a delayed worm propagation model with birth and death rates is discussed. The number of system reinstallations may be increased when the hosts get unstable (infected or quarantined). In view of such situation, dynamic birth and death rates are introduced. Afterwards, the stability of the positive equilibrium is studied. Through the theoretical analysis, it is proved that the model is locally asymptotically stable without time delay. Moreover, a bifurcation appears when time delay t passes a constant value which means that the worm propagation system is unstable and uncontrollable. Thus, the time delay should be decreased in order to predict or eliminate the worm propagation. Finally, a numeric simulation is presented which fully supports our analysis.","PeriodicalId":164945,"journal":{"name":"2012 International Conference on Systems and Informatics (ICSAI2012)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bifurcation in a delayed worm propagation model with birth and death rates\",\"authors\":\"Yu Yao, N. Zhang, Fu-xiang Gao, Ge Yu\",\"doi\":\"10.1109/ICSAI.2012.6223326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a delayed worm propagation model with birth and death rates is discussed. The number of system reinstallations may be increased when the hosts get unstable (infected or quarantined). In view of such situation, dynamic birth and death rates are introduced. Afterwards, the stability of the positive equilibrium is studied. Through the theoretical analysis, it is proved that the model is locally asymptotically stable without time delay. Moreover, a bifurcation appears when time delay t passes a constant value which means that the worm propagation system is unstable and uncontrollable. Thus, the time delay should be decreased in order to predict or eliminate the worm propagation. Finally, a numeric simulation is presented which fully supports our analysis.\",\"PeriodicalId\":164945,\"journal\":{\"name\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2012.6223326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Systems and Informatics (ICSAI2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2012.6223326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bifurcation in a delayed worm propagation model with birth and death rates
In this paper, a delayed worm propagation model with birth and death rates is discussed. The number of system reinstallations may be increased when the hosts get unstable (infected or quarantined). In view of such situation, dynamic birth and death rates are introduced. Afterwards, the stability of the positive equilibrium is studied. Through the theoretical analysis, it is proved that the model is locally asymptotically stable without time delay. Moreover, a bifurcation appears when time delay t passes a constant value which means that the worm propagation system is unstable and uncontrollable. Thus, the time delay should be decreased in order to predict or eliminate the worm propagation. Finally, a numeric simulation is presented which fully supports our analysis.