malware/benign permissions Android | Training (80%)jbosca
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.
Dataset that classify malicious vs benign web characteristics based on application layer and network characteristics. Source:kaggle Originally from the following paper:
Urcuqui, C., Navarro, A., Osorio, J., & Garcıa, M. (2017). Machine Learning Classifiers to Detect Malicious Websites. CEUR Workshop Proceedings. Vol 1950, 14-17.
Juvenile arrest locations. The dataset contains a subset of juvenile arrest locations and attributes reported in the Criminal Justice Information System (CJIS) Arrest database by the District of Columbia Metropolitan Police Department (MPD).
Website: http://mpdc.dc.gov/mpdc/cwp/view,A,1232,Q,559499.asp
