malware/benign permissions Android | Training (80%)
216.1 KBsize
27fields
318instances
Created
Mon, 12 Feb 2018 09:37:54 +0000
Published
Mon, 12 Feb 2018 09:38:43 +0000
Algorithm
BigML Memory Tree
Split criterion
Support threshold
Depth threshold
512
Node threshold
512
Missing splits
No
Statistical pruning
Smart pruning
The dataset classify the malware/beningn Android permissions.
A binary vector of permissions is used for each application analyzed {1=used, 0=no used}. Moreover, the samples of malware/benign were devided by "Type"; 1 malware and 0 non-malware.
Source:kaggle
Originally from the following paper:
Urcuqui, C., & Navarro, A. (2016, April). Machine learning classifiers for android malware analysis. In Communications and Computing (COLCOM), 2016 IEEE Colombian Conference on (pp. 1-6). IEEE.