In this paper, we design a Spider Monkey-based Elman Spike Neural Network (SM-ESNN) to identify intrusion threats in Software Defined Networks (SDN).
Feb 6, 2024 · The developed technique's key benefit is improving SDN security by quickly and accurately identifying and stopping assaults. First, the proposed ...
DOI:10.1007/s11042-024-18466-8; Corpus ID: 267537009. Design optimization-based software-defined networking scheme for detecting and preventing attacks.
Design optimization-based software-defined networking scheme for detecting and preventing attacks. Authors. Charanarur, Panem; Thanh Hung, Bui; Chakrabarti ...
Design optimization-based software-defined networking scheme for detecting and preventing attacks. https://doi.org/10.1007/s11042-024-18466-8.
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The mitigation module uses three new techniques to efficiently mitigate attack traffic: table-miss engineering to prevent the communication bandwidth from being ...
Jul 5, 2019 · Design optimization-based software-defined networking scheme for detecting and preventing attacks. 2024, Multimedia Tools and Applications ...
Aug 5, 2024 · This paper proposes a secure intrusion detection scheme for SDN utilizing LogishFTS-based Recurrent Neural Networks (LFTS-RNN) and Poisson Clumping Japanese ...
In this article, a detailed study on DDoS threats prevalent in SDN is presented. First, SDN features are examined from the perspective of security.
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Mar 26, 2024 · Design optimization-based software-defined networking scheme for detecting and preventing attacks. Multimedia Tools and Applications, 1-19 ...