A Survey on Adversarial Attack in the Age of Artificial Intelligence

Table 8

Common datasets for malware adversarial attack.

Type of dataset	Data source	Application instances
Publicly accessible dataset	VirusShare; Citadel; APT1	Kolosnjaji et al. 2018 [46]; Al-Dujaili et al. 2018 [45]
	VirusTotal	Song et al. 2020 [47]; Huang et al. 2019 [106]; Suciu et al. 2019 [107]
	Drebin	Xu et al. 2020 [108]; Chen et al. 2020 [63]; Demontis et al. 2019 [20]; Arp et al. 2014 [109]
	https://malwr.com/	Hu et al. 2017 [44]
	NSL-KDD	Zhang et al. 2020 [110]
	MAMADROID	Chen et al. 2020 [63]
	EMBER	Suciu et al. 2019 [107]
	MasterDGA; Alexa site	Alaeiyan et al. 2019 [111]
Commercial dataset	The Kaggle Malware dataset of Microsoft	Salem et al. 2019 [112]; Yan et al. 2018 [113]
	McAfee Labs	Huang et al. 2019 [106]
	FireEye; Reversing Lab	Suciu et al. 2019 [107]
	Microsoft’s antimalware team	Stokes et al. 2018 [114]
Artificially generated dataset	Generated by toolkits manually	Suciu et al. 2019 [107]