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Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning

Abstract Ransomware attacks represent a more potent and upcoming cybersecurity threat and traditional detection strategies have been ineffective against new and polymorphic ransomware variants. To overcome the limitations of conventional detection strategies, this study proposes the Graph-Contrast R...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Suneeta Satpathy, Pratik Kumar Swain
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer 2025-06-01
Schriftenreihe:Discover Computing
Schlagworte:
Ransomware
Graph neural networks (GNN)
Contrastive learning (CLR)
Feature selection
FT-Transformer (feature tokenization)
Portable executable (PE) files
Online-Zugang:https://doi.org/10.1007/s10791-025-09651-w
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