N-Gram, Semantic-Based Neural Network for Mobile Malware Network Traffic Detection

Table 1

Description of CICAndMal2017 dataset.

Items	APP numbers	Composition	Collected traffic data
Benign	5065	2015	19.0G	6.0G
		2016		6.8G
		2017		5.9G
Malware	429	Adware	19.2G	8.4G
		Ransomware		3.4G
		Scareware		5.1G
		SMS malware		2.3G