Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs
Malware harms the confidentiality and integrity of the information that causes material and moral damages to institutions or individuals. This study proposed a malware detection model based on API-call graphs and used Graph Variational Autoencoder (GVAE) to reduce the size of graph node features ext...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-05-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-988.pdf |