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Character Level based Detection of DGA Domain Names
2018
2018 International Joint Conference on Neural Networks (IJCNN)
Recently several different deep learning architectures have been proposed that take a string of characters as the raw input signal and automatically derive features for text classification. Few studies are available that compare the effectiveness of these approaches for character based text classification with each other. In this paper we perform such an empirical comparison for the important cybersecurity problem of DGA detection: classifying domain names as either benign vs. produced by
doi:10.1109/ijcnn.2018.8489147
dblp:conf/ijcnn/YuPHNC18
fatcat:hd3ztzvd75crtpaqzo2ij4hpla