MULBER: Effective Android Malware Clustering Using Evolutionary Feature Selection and Mahalanobis Distance Metric
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DOI: 10.3390/sym14102221
Abstract: Symmetric and asymmetric patterns are fascinating phenomena that show a level of co-existence in mobile application behavior analyses. For example, static phenomena, such as information sharing through collaboration with known apps, is a good example… read more here.
Keywords: mulber; android; mahalanobis distance; malware ... See more keywords