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Mimicking Anti-Viruses with Machine Learning and Entropy Profiles
The quality of anti-virus software relies on simple patterns extracted from binary files. Although these patterns have proven to work on detecting the specifics of software, they are extremely sensitive to concealment strategies, such as polymorphism or metamorphism. These limitations also make anti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515001/ https://www.ncbi.nlm.nih.gov/pubmed/33267227 http://dx.doi.org/10.3390/e21050513 |