Malicious Code Detection Model Based on Behavior Association
Malicious applications can be introduced to attack users and services so as to gain financial rewards, individuals’ sensitive information, company and government intellectual property, and to gain remote control of systems. However, traditional methods of malicious code detection, such as signature...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Tsinghua University Press
2014-10-01
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| coleção: | Tsinghua Science and Technology |
| Assuntos: | |
| Acesso em linha: | https://www.sciopen.com/article/10.1109/TST.2014.6919827 |
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