Mining behavior pattern of mobile malware with convolutional neural network
The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics. In order to solve this problem, an interpretable detection method was proposed. Suspicious system cal...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
POSTS&TELECOM PRESS Co., LTD
2020-12-01
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| coleção: | 网络与信息安全学报 |
| Assuntos: | |
| Acesso em linha: | http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2020073 |
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