Ginters, Egils and Dumpis, Uga and Linan, Laura Calvet and Eroles, Miquel Angel Piera and Nazemi, Kawa and Matvejevs, Andrejs and Estrada, Mario Arturo Ruiz (2025) A Paradigm for Modeling Infectious Diseases: Assessing Malware Spread in Early-Stage Outbreaks. Mathematics, 13 (1). p. 91. ISSN 2227-7390, DOI https://doi.org/10.3390/math13010091.
Full text not available from this repository.Abstract
As digitalization and artificial intelligence advance, cybersecurity threats intensify, making malware-a type of software installed without authorization to harm users-an increasingly urgent concern. Due to malware's social and economic impacts, accurately modeling its spread has become essential. While diverse models exist for malware propagation, their selection tends to be intuitive, often overlooking the unique aspects of digital environments. Key model choices include deterministic vs. stochastic, planar vs. spatial, analytical vs. simulation-based, and compartment-based vs. individual state-tracking models. In this context, our study assesses fundamental infection spread models to determine those most applicable to malware propagation. It is organized in two parts: the first examines principles of deterministic and stochastic infection models, and the second provides a comparative analysis to evaluate model suitability. Key criteria include scalability, robustness, complexity, workload, transparency, and manageability. Using consistent initial conditions, control examples are analyzed through Python-based numerical methods and agent-based simulations in NetLogo. The findings yield practical insights and recommendations, offering valuable guidance for researchers and cybersecurity professionals in applying epidemiological models to malware spread.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | epidemiological models; mathematical modeling; malware spread modeling; sociotechnical systems; simulation |
Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Business and Economics |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 12 Mar 2025 04:25 |
Last Modified: | 12 Mar 2025 04:25 |
URI: | http://eprints.um.edu.my/id/eprint/47756 |
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