Contactless transaction protection using generative adversarial network ('gan') deep learning technology

Abstract

Methods, apparatus, and systems for identifying and suspending attempted illegitimate transactions. The methods may include attempting a transaction between a contactless transmitter included in a transaction device and a contactless receiver not included in the transaction device. In response to attempting the transaction, the methods may include generating a real-time synthetic data model at a generator module. The methods may include transmitting the real-time synthetic data model to a discriminator module. The methods may include comparing the real-time synthetic data model to identifiers of authorized contactless receivers stored in a knowledge graph. The methods may include executing a prediction whether the attempted transaction will be a legitimate transaction based on the comparison. The methods may include executing the transaction in response to a prediction that the transaction will be a legitimate transaction and terminating the transaction, in response to a prediction that the transaction will be an illegitimate transaction.