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INVESTIGATING VIRUS SPREAD ANALYSIS IN COMPUTER NETWORKS WITH ATANGANA-BALEANU FRACTIONAL DERIVATIVE MODELS

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dc.citedby1
dc.contributor.authorAhmad I.en_US
dc.contributor.authorBakar A.A.en_US
dc.contributor.authorAhmad H.en_US
dc.contributor.authorKhan A.en_US
dc.contributor.authorAbdeljawad T.en_US
dc.contributor.authorid57220824630en_US
dc.contributor.authorid35178991300en_US
dc.contributor.authorid57220768187en_US
dc.contributor.authorid56865012200en_US
dc.contributor.authorid6508051762en_US
dc.date.accessioned2025-03-03T07:46:43Z
dc.date.available2025-03-03T07:46:43Z
dc.date.issued2024
dc.description.abstractThis paper proposes a mathematical model to investigate the dynamic behaviors of a modified computer virus model using the Atangana-Baleanu fractional derivative in the Caputo sense, aiming to elucidate the connection between its parameters and network attributes. By introducing a relatively new numerical method, we address the memory-dependent and nonlocal features of the system. The existence and uniqueness of the model's solution are confirmed. To explore solution trajectories and assess the impact of various input factors on computer virus dynamics, we employ an efficient numerical technique. Our simulations provide insights into the consequences of fractional order, anti-virus measures, asymptotic fraction, damage rate, and removal rate in the system. These findings illuminate the relationships between model parameters, facilitating the design of networks that minimize the risk of virus outbreaks and prevent future cyber threats. By identifying critical factors involved in the progression of viruses, these results enable the development of more effective defense mechanisms. ? 2024 The Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2440043
dc.identifier.doi10.1142/S0218348X24400437
dc.identifier.issue7-Aug
dc.identifier.scopus2-s2.0-85196932950
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85196932950&doi=10.1142%2fS0218348X24400437&partnerID=40&md5=c8daf7130887f87456b10ece1d185f5e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37024
dc.identifier.volume32
dc.publisherWorld Scientificen_US
dc.sourceScopus
dc.sourcetitleFractals
dc.subjectComputer networks
dc.subjectNumerical methods
dc.subjectAnti virus
dc.subjectAnti-virus measure
dc.subjectAtanganum?baleanu fractional mathematical model
dc.subjectDynamic behaviors
dc.subjectEfficient energy usage
dc.subjectEnergy usage
dc.subjectFractional derivative model
dc.subjectNetwork environments
dc.subjectSustainable network environment
dc.subjectVirus spreads
dc.subjectComputer viruses
dc.titleINVESTIGATING VIRUS SPREAD ANALYSIS IN COMPUTER NETWORKS WITH ATANGANA-BALEANU FRACTIONAL DERIVATIVE MODELSen_US
dc.typeArticleen_US
dspace.entity.typePublication
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