Ara
Toplam kayıt 3, listelenen: 1-3
The Android malware detection systems between hope and reality
(Springer International Publishing Ag, 2019)
The widespread use of Android-based smartphones made it an important target for malicious applications' developers. So, a large number of frameworks have been proposed to tackle the huge number of daily published malwares. ...
VisDroid: Android malware classification based on local and global image features, bag of visual words and machine learning techniques
(SPRINGER LONDON LTD, 2020)
In this paper, VisDroid, a novel generic image-based classification method has been suggested and developed for classifying the Android malware samples into its families. To this end, five grayscale image datasets each of ...
Android malware detection based on image-based features and machine learning techniques
(SPRINGER INTERNATIONAL PUBLISHING AG, 2020)
In this paper, a malware classification model has been proposed for detecting malware samples in the Android environment. The proposed model is based on converting some files from the source of the Android applications ...