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Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes

Securing computers is crucial to prevent data breaches, identity theft, and financial losses. Virus incursions disrupt operations, causing downtime and costly repairs. Protective measures, including anti-virus software and cybersecurity practices, maintain network integrity and reduce the spread of...

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Main Authors:	Ahmad I., Bakar A.A., Jan R., Yussof S.
Other Authors:	57220824630
Format:	Article
Published:	Elsevier B.V. 2025
Subjects:	Computation theory Computer viruses Energy efficiency Fixed point arithmetic Green computing Anti virus Anti-virus measure Cyber security Dynamic behaviors Efficient energy usage Energy usage Fractional mathematical model Network environments Sustainable network environment Virus model Losses
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id	my.uniten.dspace-36456
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spelling	my.uniten.dspace-364562025-03-03T15:42:31Z Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes Ahmad I. Bakar A.A. Jan R. Yussof S. 57220824630 35178991300 57205596279 16023225600 Computation theory Computer viruses Energy efficiency Fixed point arithmetic Green computing Anti virus Anti-virus measure Cyber security Dynamic behaviors Efficient energy usage Energy usage Fractional mathematical model Network environments Sustainable network environment Virus model Losses Securing computers is crucial to prevent data breaches, identity theft, and financial losses. Virus incursions disrupt operations, causing downtime and costly repairs. Protective measures, including anti-virus software and cybersecurity practices, maintain network integrity and reduce the spread of malware. Combining robust cybersecurity with green computing strategies ensures efficient energy usage and sustainable network environments, safeguarding against viruses while contributing to both security and environmental goals In this study, we explore the dynamic behaviors of a modified version of the computer virus model and elucidate the connection between its parameters and network attributes. We employ Banach's and Schaefer's fixed-point theorems to assess the existence and uniqueness of solutions of the suggested model. Furthermore, we establish sufficient conditions for Ulam?Hyers stability within the envisioned computer virus model. To analyze solution trajectories and the impact of various input factors on computer virus dynamics, we utilize an efficient numerical technique, providing insight into the relationships between model parameters and enabling the design of networks that minimize the risk of virus outbreaks under various bifurcation conditions. ? 2024 Faculty of Engineering, Alexandria University Final 2025-03-03T07:42:31Z 2025-03-03T07:42:31Z 2024 Article 10.1016/j.aej.2024.06.009 2-s2.0-85196071360 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196071360&doi=10.1016%2fj.aej.2024.06.009&partnerID=40&md5=d3c2637e3bb6e9b89577c96a0bfb28b0 https://irepository.uniten.edu.my/handle/123456789/36456 103 266 277 Elsevier B.V. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Computation theory Computer viruses Energy efficiency Fixed point arithmetic Green computing Anti virus Anti-virus measure Cyber security Dynamic behaviors Efficient energy usage Energy usage Fractional mathematical model Network environments Sustainable network environment Virus model Losses
spellingShingle	Computation theory Computer viruses Energy efficiency Fixed point arithmetic Green computing Anti virus Anti-virus measure Cyber security Dynamic behaviors Efficient energy usage Energy usage Fractional mathematical model Network environments Sustainable network environment Virus model Losses Ahmad I. Bakar A.A. Jan R. Yussof S. Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
description	Securing computers is crucial to prevent data breaches, identity theft, and financial losses. Virus incursions disrupt operations, causing downtime and costly repairs. Protective measures, including anti-virus software and cybersecurity practices, maintain network integrity and reduce the spread of malware. Combining robust cybersecurity with green computing strategies ensures efficient energy usage and sustainable network environments, safeguarding against viruses while contributing to both security and environmental goals In this study, we explore the dynamic behaviors of a modified version of the computer virus model and elucidate the connection between its parameters and network attributes. We employ Banach's and Schaefer's fixed-point theorems to assess the existence and uniqueness of solutions of the suggested model. Furthermore, we establish sufficient conditions for Ulam?Hyers stability within the envisioned computer virus model. To analyze solution trajectories and the impact of various input factors on computer virus dynamics, we utilize an efficient numerical technique, providing insight into the relationships between model parameters and enabling the design of networks that minimize the risk of virus outbreaks under various bifurcation conditions. ? 2024 Faculty of Engineering, Alexandria University
author2	57220824630
author_facet	57220824630 Ahmad I. Bakar A.A. Jan R. Yussof S.
format	Article
author	Ahmad I. Bakar A.A. Jan R. Yussof S.
author_sort	Ahmad I.
title	Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
title_short	Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
title_full	Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
title_fullStr	Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
title_full_unstemmed	Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes
title_sort	dynamic behaviors of a modified computer virus model: insights into parameters and network attributes
publisher	Elsevier B.V.
publishDate	2025
_version_	1825816022639181824
score	13.244413

Dynamic behaviors of a modified computer virus model: Insights into parameters and network attributes

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