Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model

Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model

The spread of a cyber epidemic at an early stage is an uncertain process characterized by a small amount of statistically unreliable data. Nonlinear dynamic models, most commonly the SIR model, are widely used to describe such processes. The description of the studied process obtained using this mod...

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Bibliographic Details
Main Authors: Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Tetiana Gryshchuk
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Egyptian Informatics Journal
Subjects:
Cyber epidemics
Malware
Forecasting
Small data
Machine learning
Entropy-extreme model
Online Access:http://www.sciencedirect.com/science/article/pii/S111086652400135X
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