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DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware
To deal with the large number of malicious mobile applications (e.g. mobile malware), a number of malware detection systems have been proposed in the literature. In this paper, we propose a hybrid method to find the optimum parameters that can be used to facilitate mobile malware identification. We...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017788/ https://www.ncbi.nlm.nih.gov/pubmed/27611312 http://dx.doi.org/10.1371/journal.pone.0162627 |