Stability analysis of deterministic SEIA worm model by reproductive number
The stability analysis of deterministic SEIA worm model in a computer network is considered. We calculate the disease free equilibrium and endemic equilibrium from the model. Here we have to find the numerical simulation compare with deterministic reproduction number. Also the numerical simulation o...
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creator | Geethamalini, S. Balamuralitharan, S. Radha, M. Geetha, V. Rathinasamy, A. |
description | The stability analysis of deterministic SEIA worm model in a computer network is considered. We calculate the disease free equilibrium and endemic equilibrium from the model. Here we have to find the numerical simulation compare with deterministic reproduction number. Also the numerical simulation of the anti-virus software failure rate constant obtain to derive the parameter estimation. |
doi_str_mv | 10.1063/1.5112229 |
format | Conference Proceeding |
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We calculate the disease free equilibrium and endemic equilibrium from the model. Here we have to find the numerical simulation compare with deterministic reproduction number. Also the numerical simulation of the anti-virus software failure rate constant obtain to derive the parameter estimation.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.5112229</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Anti-virus software ; Computer networks ; Computer simulation ; Failure rates ; Mathematical models ; Parameter estimation ; Stability analysis ; Viruses</subject><ispartof>AIP conference proceedings, 2019, Vol.2112 (1)</ispartof><rights>Author(s)</rights><rights>2019 Author(s). 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We calculate the disease free equilibrium and endemic equilibrium from the model. Here we have to find the numerical simulation compare with deterministic reproduction number. Also the numerical simulation of the anti-virus software failure rate constant obtain to derive the parameter estimation.</description><subject>Anti-virus software</subject><subject>Computer networks</subject><subject>Computer simulation</subject><subject>Failure rates</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>Stability analysis</subject><subject>Viruses</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kE1LwzAAhoMoOD8O_oOAN6EzSfPRHMeYOhl4mIK3kLQJZLRNTdJJ_72TDbx5ei_P-_LwAnCH0RwjXj7iOcOYECLPwAwzhgvBMT8HM4QkLQgtPy_BVUo7hIgUopqB123Wxrc-T1D3up2STzA42NhsY-d7n7Kv4Xa1XsDvEDvYhca20Eww2iGGZqyz31vYj52x8QZcON0me3vKa_DxtHpfvhSbt-f1crEpBoJKWXDpGk6wbCyXSFCL6sroUmrmeMWkZMLWmApaO2MQN4wYyWSFtHYEWeMqUV6D--PuweBrtCmrXRjjQT4pQiiTGFFJDtTDkUq1zzr70Ksh-k7HSe1DVFidflJD4_6DMVK_x_4Vyh9wHmnZ</recordid><startdate>20190621</startdate><enddate>20190621</enddate><creator>Geethamalini, S.</creator><creator>Balamuralitharan, S.</creator><creator>Radha, M.</creator><creator>Geetha, V.</creator><creator>Rathinasamy, A.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20190621</creationdate><title>Stability analysis of deterministic SEIA worm model by reproductive number</title><author>Geethamalini, S. ; Balamuralitharan, S. ; Radha, M. ; Geetha, V. ; Rathinasamy, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2039-69fd6219de69074e0c8ba39a5f6859957ec1474cfbb06b52b95980aaf20ebf873</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Anti-virus software</topic><topic>Computer networks</topic><topic>Computer simulation</topic><topic>Failure rates</topic><topic>Mathematical models</topic><topic>Parameter estimation</topic><topic>Stability analysis</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geethamalini, S.</creatorcontrib><creatorcontrib>Balamuralitharan, S.</creatorcontrib><creatorcontrib>Radha, M.</creatorcontrib><creatorcontrib>Geetha, V.</creatorcontrib><creatorcontrib>Rathinasamy, A.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geethamalini, S.</au><au>Balamuralitharan, S.</au><au>Radha, M.</au><au>Geetha, V.</au><au>Rathinasamy, A.</au><au>Govindarajan, A.</au><au>Sangeetha, S.</au><au>Sambath, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Stability analysis of deterministic SEIA worm model by reproductive number</atitle><btitle>AIP conference proceedings</btitle><date>2019-06-21</date><risdate>2019</risdate><volume>2112</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>The stability analysis of deterministic SEIA worm model in a computer network is considered. We calculate the disease free equilibrium and endemic equilibrium from the model. Here we have to find the numerical simulation compare with deterministic reproduction number. Also the numerical simulation of the anti-virus software failure rate constant obtain to derive the parameter estimation.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.5112229</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anti-virus software Computer networks Computer simulation Failure rates Mathematical models Parameter estimation Stability analysis Viruses |
title | Stability analysis of deterministic SEIA worm model by reproductive number |
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