Deep Learning Methods for Malware and Intrusion Detection: A Systematic Literature Review

Table 12

Android-based malware detection datasets for research community.

Reference	Dataset: description, size, type
[150]	15,451 benign apps and 15,183 malware
AndroZoo [151]	More than three million apps
AndroCT [152]	A large-scale dataset on the run-time traces of function calls in 35,974 benign and malicious android apps from ten historical years (2010 through 2019)
Rmvdroid [153]	Malware dataset containing 9,133 samples that belong to 56 malware families over the four years of 2014–18
[154]	17,664 apps sampled from the apps developed in each of the past eight years (2012–21)
AndroZooOpen [155]	AndroZooOpen, currently contains over 45,000 app artefacts, a representative picture of Github-hosted android apps
Deep ground [156]	Dataset (containing 24,650 malware apps)
DREBIN	In an evaluation with 123,453 applications and 5,560 malware samples DREBIN
Malgenome [157]	1,200 malware samples that cover the majority of existing android malware families, ranging from their debut in August 2010 to recent ones in October 2011