Attention-Based Cross-Modal CNN Using Non-Disassembled Files for Malware Classification

The role of malware classification is crucial in addressing the explosive increase in malware variants. By classifying malware instances into malware families, malware analysts can apply appropriate techniques and tools to handle malware variants in each family. Using high-level representations of m...

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Hlavní autoři:	Jeongwoo Kim, Joon-Young Paik, Eun-Sun Cho
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2023-01-01
Edice:	IEEE Access
Témata:	Malware classification structural entropy malware image deep learning convolutional neural network attention mechanism
On-line přístup:	https://ieeexplore.ieee.org/document/10061401/
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