An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning

Ransomware represents a critical and evolving cybersecurity threat that often evades traditional defenses during its early stages. We present a novel intelligent sensing framework (ISF) designed for proactive, early-stage ransomware detection, centered on a Multi-Head Self-Attention Long Short-Term...

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Bibliografiske detaljer

Principais autores:	Abdullah Alqahtani, Mordecai Opoku Ohemeng, Frederick T. Sheldon
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-02-01
Serier:	Sensors
Fag:	ransomware intelligent sensing innovative sensing technology Multi-Head Self-Attention (MHSA) Long Short-Term Memory (LSTM) behavioral analysis
Online adgang:	https://www.mdpi.com/1424-8220/26/3/952
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