Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer.

Chen, Yizhou; Dai, Heng; Yu, Xiao; Hu, Wenhua; Xie, Zhiwen; Tan, Cheng

Chen, Yizhou; Dai, Heng; Yu, Xiao; Hu, Wenhua; Xie, Zhiwen; Tan, Cheng.

Afiliación

Chen Y; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
Dai H; School of Computer Science, Wuhan University, Wuhan 430072, China.
Yu X; School of Mechanical and Electrical Engineering, Wuhan Qingchuan University, Wuhan 430204, China.
Hu W; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
Xie Z; Wuhan University of Technology Chongqing Institute, Chongqing 401120, China.
Tan C; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

Sensors (Basel) ; 21(19)2021 Sep 26.

Article en En | MEDLINE | ID: mdl-34640737

Asunto(s)

Algoritmos; Redes Neurales de la Computación; Aprendizaje Automático; Semántica

Palabras clave

Ponzi schemes; blockchain; deep learning; smart contracts; structured sequences

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China

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