DIDroid: Android Malware Classification and Characterization Using Deep Image Learning
作者： Frédéric Massicotte , Francois Gagnon , Arash Habibi Lashkari , Laya Taheri , Gurdip Kaur
关键词:
摘要: The unrivaled threat of android malware is the root cause various security problems on internet. Although there are remarkable efforts in detection and classification based machine learning techniques, a small number attempts made to classify characterize it using deep learning. Detecting smartphones an essential target for cyber community get rid menacing samples. This paper proposes image-based neural network method samples taken from huge dataset with 12 prominent categories 191 eminent families. work successfully demonstrates use image accuracy 93.36% log loss less than 0.20 training testing set.
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sci-hub.st 参考文章(22)
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