Abstract
In order to effectively detect phishing attacks, this paper designed a new detection system for phishing websites using LSTM Recurrent neural networks. LSTM has the advantage of capturing data timing and long-term dependencies. LSTM has strong learning ability, has strong potential in the face of complex high-dimensional massive data. Experimental results show that this model approach the accuracy of 99.1%, is higher than that of other neural network algorithms.
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