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An empirical study for the traffic flow rate prediction-based anomaly detection in software-defined networking: a challenging overview

Published Online: 2023-04-18

Authors

Raja, Nirav M

Vegad, Sudhir
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Text and Data Mining valid from 2023-04-18

Version of Record valid from 2023-04-18
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Article History

Received: 8 December 2022

Revised: 26 December 2022

Accepted: 3 March 2023

First Online: 18 April 2023

Declarations

:

: The authors declare no conflict of interest.

: Not Applicable.

: Not Applicable.

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