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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...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5017788/ https://ncbi.nlm.nih.gov/pubmed/27611312 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0162627 |
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