MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention

As one of the major threats in cybersecurity, malware has been growing continuously and steadily. In recent years, researchers have proposed a number of graph representation learning based malware detection methods by leveraging the intrinsic topological features of malware, which has led to conside...

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Autors principals:	Ruisheng Li, Qilong Zhang, Huimin Shen
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-09-01
Col·lecció:	Array
Matèries:	Malware detection Malware classification Function Call Graph Graph node embedding Graph neural network
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2590005625001201
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