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BotMHG: a hybrid deep learning-based graphical approach to detect botnets using graph neural networks and graph attention networks on topological and temporal features.

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Title: BotMHG: a hybrid deep learning-based graphical approach to detect botnets using graph neural networks and graph attention networks on topological and temporal features.
Authors: Mohan, H. G.1, mohan@jnnce.ac.in, Kumar, Jalesh1, jaleshkumar@jnnce.ac.in
Source: Neural Computing & Applications; Aug2025, Vol. 37 Issue 23, p19303-19337, 35p
Database: Applied Science & Technology Source
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        Value: 10.1007/s00521-025-11402-3
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        Text: English
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        PageCount: 35
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      – TitleFull: BotMHG: a hybrid deep learning-based graphical approach to detect botnets using graph neural networks and graph attention networks on topological and temporal features.
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              Text: Aug2025
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