Cargando…
Multi-semantic feature fusion attention network for binary code similarity detection
Binary code similarity detection (BCSD) plays a big role in the process of binary application security test. It can be applied in several fields, such as software plagiarism detection, malware analysis, vulnerability detection. Most research is based on recurrent neural networks, which is difficult...
Autores principales: | Li, Bangling, Zhang, Yuting, Peng, Huaxi, Fan, Qiguang, He, Shen, Zhang, Yan, Shi, Songquan, Zhang, Yang, Ma, Ailiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008825/ https://www.ncbi.nlm.nih.gov/pubmed/36907937 http://dx.doi.org/10.1038/s41598-023-31280-w |
Ejemplares similares
-
MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation
por: Li, Shusheng, et al.
Publicado: (2022) -
Face Manipulation Detection Based on Supervised Multi-Feature Fusion Attention Network
por: Cao, Lin, et al.
Publicado: (2021) -
Identification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm
por: Zhang, Jian, et al.
Publicado: (2016) -
Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation
por: Zhu, Hancan, et al.
Publicado: (2019) -
Multi-domain semantic similarity in biomedical research
por: Ferreira, João D., et al.
Publicado: (2019)