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Updated: Jan 12, 2026

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通过使用深度学习技术,提高网络流量的恶意软件检测和分类.

Pratibha Amol Tambewagh1, Dayanand Ingle2

  • 1Bharati Vidyapeeth Institute of Technology, Navi Mumbai, Maharashtra, India.

Journal of forensic sciences
|November 6, 2025
PubMed
概括

这项研究使用先进的深度学习 (DL) 技术提高了网络流量的恶意软件检测. 新型号的准确性达到了98%,大大提高了对不断变化的威胁的实时网络安全.

关键词:
背景感知图表注意力网络深度学习是一种深度学习.基于的流量过.恶意软件检测 恶意软件检测网络流量 网络流量自主监督学习用于异常检测检测.

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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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