Automatic deception detection model based on keystroke features of Chinese free text
Research has found that human’s deceptive behaviors would affect their keystroke patterns. Detecting deceptive behaviors through keystroke patterns is a critical step toward building a cyber information security system in the field of social networking. However, the existing models detecting decepti...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Editorial Department of Journal of Sichuan University (Natural Science Edition)
2017-01-01
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| Series: | 四川大学学报. 自然科学版 |
| Assuntos: | |
| Acceso en liña: | http://science.scu.edu.cn/thesisDetails?columnId=45829901&Fpath=home&index=0 |
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