{"title":"A Competitive Numerical Model for Virus Transmission in a Computer Network","authors":"M. Ehsan, M. Rafiq, A. Raza","doi":"10.1109/iCoMET57998.2023.10099088","DOIUrl":null,"url":null,"abstract":"The transmission dynamics of computer viruses in a network can be modeled as a system of nonlinear differential equations. These nonlinear systems are usually complex to solve analytically. A competitive numerical method is always needed to handle such problems. This paper deals with designing and implementing a reliable numerical analysis to investigate the behavior of a malicious virus in a computer network. The proposed numerical procedure is intended to preserve the actual dynamics of computer viruses in all situations and for every choice of parameter value. The present work is also compared with existing techniques, which do not behave well in specific scenarios.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCoMET57998.2023.10099088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The transmission dynamics of computer viruses in a network can be modeled as a system of nonlinear differential equations. These nonlinear systems are usually complex to solve analytically. A competitive numerical method is always needed to handle such problems. This paper deals with designing and implementing a reliable numerical analysis to investigate the behavior of a malicious virus in a computer network. The proposed numerical procedure is intended to preserve the actual dynamics of computer viruses in all situations and for every choice of parameter value. The present work is also compared with existing techniques, which do not behave well in specific scenarios.
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