On Modeling the Non-Classical Dynamics of Computer Virus Propagation Using a Model with a Generalized Composite Derivative.

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Title: On Modeling the Non-Classical Dynamics of Computer Virus Propagation Using a Model with a Generalized Composite Derivative.
Authors: Bulavatsky, V. M.1 (AUTHOR) v_bulav@ukr.net
Source: Cybernetics & Systems Analysis. Mar2026, Vol. 62 Issue 2, p269-279. 11p.
Subjects: Fractional differential equations, Computer viruses, Epidemiological models, Fractional calculus, Nonlinear integral equations, Mathematical models, Quantitative research
Abstract: The mathematical model of SIRS epidemiological dynamics is generalized to incorporate nonlocal effects in the propagation of computer viruses. The problem of modeling the fractional-differential dynamics of computer viruses using a model with a bi-ordinal, two-type Hilfer derivative with respect to the unknown functions is considered. The problem with the final condition for a nonlinear fractional differential equation with a bi-ordinal, two-type derivative is formulated and reduced to solving the corresponding nonlinear integral equation. The aspects of qualitative analysis related to this problem are examined. [ABSTRACT FROM AUTHOR]
Copyright of Cybernetics & Systems Analysis is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: On Modeling the Non-Classical Dynamics of Computer Virus Propagation Using a Model with a Generalized Composite Derivative.
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  Data: <searchLink fieldCode="DE" term="%22Fractional+differential+equations%22">Fractional differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+viruses%22">Computer viruses</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiological+models%22">Epidemiological models</searchLink><br /><searchLink fieldCode="DE" term="%22Fractional+calculus%22">Fractional calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+integral+equations%22">Nonlinear integral equations</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink>
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  Data: The mathematical model of SIRS epidemiological dynamics is generalized to incorporate nonlocal effects in the propagation of computer viruses. The problem of modeling the fractional-differential dynamics of computer viruses using a model with a bi-ordinal, two-type Hilfer derivative with respect to the unknown functions is considered. The problem with the final condition for a nonlinear fractional differential equation with a bi-ordinal, two-type derivative is formulated and reduced to solving the corresponding nonlinear integral equation. The aspects of qualitative analysis related to this problem are examined. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Cybernetics & Systems Analysis is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10559-026-00863-6
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        Text: English
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      – SubjectFull: Fractional differential equations
        Type: general
      – SubjectFull: Computer viruses
        Type: general
      – SubjectFull: Epidemiological models
        Type: general
      – SubjectFull: Fractional calculus
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      – SubjectFull: Nonlinear integral equations
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              Text: Mar2026
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