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Author/Affiliation: Hae-Jung KimOpen AccessArticle
6 Pages, 965 KB 
Ensemble Learning of Deep URL Features based on Convolutional Neural Network for Phishing Attack Detection
Abstract:
The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…
Read More(This article belongs to the SP12 (Special Issue on Multidisciplinary Sciences and Engineering 2021-22) & Section Information Systems in Computer Science (CIS))