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January 1, 2025International Journal of Networking and Virtual Organisations

CLMO-XAI-SVDM: Cannibalistic Lead With Long Short-Term Memory Hybridised Explainable Artificial Intelligence For Ddos Attack Detection

Komal Shyamsundar Jakotiya Vishal Shirsath Sharanabasava C Inamadar

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Key Points

Detection of DDoS attacks is enhanced using a hybrid explainable AI approach.
The model utilizes long short-term memory for better accuracy in identifying threats.
This approach combines machine learning principles with explainability for better understanding.
The significance of these methods lies in their potential to bolster cybersecurity strategies.

Implication

Observational analysis reveals effective DDoS attack detection using explainable AI, suggesting improved cybersecurity measures.

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Cite This Study

Jakotiya et al. (2025) studied this question.

synapsesocial.com/papers/69a76165c6e9836116a2f469 https://doi.org/10.1504/ijnvo.2025.10076358

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