Serial Number: 52
Year: 2017
Kind of Traffic: Real
Publicly Available: Yes
Count of Records:
Features Count:
No. of citations: 1514
Attack Type: SMS malware,scareware, etc
Download Links: https://www.unb.ca/cic/datasets/andmal2017.html
Abstract: CICAndMal2017 is the name of this dataset, which contains both benign and malware applications. Shiravi et al. proposed the CICAndMal2017 dataset. Published on Google Play in 2015, 2016, and 2017. In the CICAndMal2017 dataset the malware are divided into “4” types: (1) SMS Malware (e.g., Zsone, Mazarbot, FakeInst, BeanBot ... etc), (2) Scareware (e.g AndroidSpy, Penetho, VirusShield, AndroidDefender, ..), (3) Ransomware (e.g LockerPin, Jisut , WannaLocker ,Pletor, Charge, ...), and (4) Adware (e.g Shuanet, Ewind, Dowgin, Selfmite..). Furthermore, the dataset CICAndMal2017 includes more than 80 features of traffic network in packet format (.pcap files).