DocumentCode
3126692
Title
Strategies for automatic labelling of web traffic traces
Author
Torres, Luis Miguel ; Magana, Eduardo ; Izal, Mikel ; Morato, Daniel
Author_Institution
Dept. de Autom. y Comput., Univ. Publica de Navarra, Pamplona, Spain
fYear
2012
fDate
22-25 Oct. 2012
Firstpage
196
Lastpage
199
Abstract
In the field of traffic classification, previous efforts have been centered on identifying applications (HTTP, SMTP, FTP, etc) rather than the actual services that they provide (email, file transfer, video streaming, etc.). Nowadays, however, a single application as HTTP can provide multiple services for the end-user. Some methods have been proposed to distinguish between these services but tuning and testing them remains a challenge as there is no easy way to obtain labelled HTTP traffic traces. In this paper we present a method to discover server IP addresses related to a specific website in a traffic trace. Our method uses NetFlow-type records which makes it scalable an impervious to encryption of packet payloads. By applying the method to a representative set of websites the resulting list of IP addresses can be used to label a sizeable number of connections in the trace.
Keywords
IP networks; Internet; Web sites; telecommunication traffic; HTTP; NetFlow-type record; Web site; Web traffic traces; automatic labelling; packet payload encryption; server IP address; traffic classification; Accuracy; Browsers; IP networks; Internet; Labeling; Ports (Computers); Servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks (LCN), 2012 IEEE 37th Conference on
Conference_Location
Clearwater, FL
ISSN
0742-1303
Print_ISBN
978-1-4673-1565-4
Type
conf
DOI
10.1109/LCN.2012.6423605
Filename
6423605
Link To Document