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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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Detalhes bibliográficos
Principais autores: XU Hong-Yan, JIN Liang, LIN Tao, PENG Jian
Formato: Artigo
Idioma:Inglês
Publicado em: Editorial Department of Journal of Sichuan University (Natural Science Edition) 2017-01-01
coleção:四川大学学报. 自然科学版
Assuntos:
Acesso em linha:http://science.scu.edu.cn/thesisDetails?columnId=45829901&Fpath=home&index=0
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