Abstract
Online transactions using credit cards are being more reliable and efficient method followed by most of the users. In the same way, the fake transaction and scam occurring during the credit card transactions are increasing day by day. This scam not only steal user’s money but also misuse their personal details. Manual detection of these scam may be a tedious process, so this detection must be a deep learning method for the fastest and effective method of detection. This paper proposes a methodology of deep learning algorithm involving Multi Layer Perceptron (MLP) to prevent the users from fraud transaction. The data which is trained form a neural network and the test data is evaluated to define the classification, whether the data is fraud or verified data. This work involves data processing, data cleaning and data visualization of the data transaction. At the end of the process, the detected results undergo validation and model evaluation. Data visualization uses libraries from Matlab to learn the data, which is used in the data classification.
Published Version
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