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TCN-ATT: A Non-recurrent Model for Sequence-Based Malware Detection
Malware detection based on API call sequences is widely used for the ability to model program behaviours. But RNN-based models for this task usually have bottlenecks in efficiency and accuracy due to their recurrent structure. In this paper, we propose a Temporal Convolutional Network with ATTention...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206248/ http://dx.doi.org/10.1007/978-3-030-47436-2_14 |