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A Malicious Code Detection Method Based on FF-MICNN in the Internet of Things
It is critical to detect malicious code for the security of the Internet of Things (IoT). Therefore, this work proposes a malicious code detection algorithm based on the novel feature fusion–malware image convolutional neural network (FF-MICNN). This method combines a feature fusion algorithm with d...
Autores principales: | Zhang, Wenbo, Feng, Yongxin, Han, Guangjie, Zhu, Hongbo, Tan, Xiaobo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695768/ https://www.ncbi.nlm.nih.gov/pubmed/36433343 http://dx.doi.org/10.3390/s22228739 |
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