On Internet Traffic Classification: A Two-Phased Machine Learning Approach

Table 2

Traffic collection summary.

Traffic class	Application	Bytes (×10^6)	Flows	Dates	Duration (hrs)
Video streaming	YouTube	16093.87	879641	[09–12]/09/2015	6.89
	Netflix	11586.61	454985	[08–09]/09/2015	5.65
	Dailymotion	11258.12	398412	[15–16]/03/2016	5.31
Video chat/VoIP	Skype	6251.06	1492380	[08–17]/10/2015	9.45
	Gtalk	4584.02	1025260	[14–18]/03/2016	4.25
	Facebook Messenger	7824.13	1158302	[15–21]/03/2016	3.28
P2P torrent	VUZE	131611.31	1318749	[20–23]/09/2015	4.28
	BitTorrent	154138.97	1308881	[20–23]/09/2015	3.56
Cloud storage	Dropbox	211833.57	408677	[11–23]/09/2015	1.56
	Google Drive	158923.52	358426	[20–23]/03/2016	2.31
	OneDrive	186358.21	325854	[21–27]/03/2016	1.81
Online games	8-Ball Pool	953.91	1358425	[10–13]/10/2015	0.35
	Treasure Hunt	1158.28	1592362	[15–22]/03/2016	2.11
Email client	Thunderbird	1401.36	821484	[15–31]/08/2015	2.21
	Outlook	1854.54	698722	[19–31]/03/2016	3.55