Fecha de publicación: 07/05/2021 Fuente: Wipo "BigData" The embodiment of the invention discloses a credit anti-fraud identification method and device based on big data, equipment and a medium, which are used for solving the problem that the existing anti-fraud means are poor in interception effect on newly appearing and hidden fraud means. The method comprises the following steps: establishing an enterprise database according to pre-acquired multi-party data; based on the enterprise database, extracting an enterprise anti-fraud rule set, and establishing an enterprise anti-fraud strategy library according to the enterprise anti-fraud rule set; establishing an enterprise fraud evaluation index system fusing enterprise basic attributes and enterprise equipment relation attributes for the enterprise database; based on the enterprise fraud evaluation index system, establishing an enterprise anti-fraud scoring model through a deep learning algorithm; and establishing an enterprise fraud decision engine based on the enterprise anti-fraud strategy library and the enterprise anti-fraud scoring model, and performing strategy configuration through the enterprise fraud decision engine to determine an enterprise anti-fraud strategy so as to identify an enterprise anti-fraud risk.