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Optimization of Machine Learning Algorithms with Distillation and Quantization for Early Detection of Attacks in Resource-Constrained Systems

This study addresses the problem of automatic attack detection targeting Linux-based machines and web applications through the analysis of system logs, with a particular focus on reducing the computational requirements of existing solutions. The aim of the research is to develop and evaluate the eff...

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Principais autores: Mikhail Rusanov, Mikhail Babenko, Maria Lapina
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2025-11-01
Series:Big Data and Cognitive Computing
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Acceso en liña:https://www.mdpi.com/2504-2289/9/12/303
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