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Utilizing fractional derivatives and sensitivity analysis in a random framework: a model-based approach to the investigation of random dynamics of malware spread

Crossref DOI link: https://doi.org/10.1186/s13661-024-01919-2

Published Online: 2024-09-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bekiryazici, Zafer
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Text and Data Mining valid from 2024-09-11

Version of Record valid from 2024-09-11
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Article History

Received: 3 June 2024

Accepted: 30 August 2024

First Online: 11 September 2024

Declarations

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: The author has read and agreed to the published version of the manuscript.

: The authors declare no competing interests.

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