DocumentCode
3531669
Title
Smart devices fingerprint detection
Author
Granell, E. ; Bri, D. ; Tomas, Jean ; Lloret, Jaime
Author_Institution
Inst. de Investig. para la Gestion Integrada de Zonas Costeras, Univ. Politec. de Valencia, Gandia, Spain
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
302
Lastpage
307
Abstract
The generalized use of mobile devices with Internet connectivity for both 3G and WiFi, allow users to choose the connection they want to use at all times. This behavior requires that Internet service providers must adapt their infrastructure to ensure good levels of Quality of Service in both types of connections. In this paper, we describe an intelligent system based on neural networks and finite state machines that lets the Internet service provider know to which type of device belongs the traffic going to its network. The system analyzes the transport and application layers from TCP packets to discriminate the percentage of Internet traffic generated by mobile devices and personal computers. Test results show the success of the developed system.
Keywords
3G mobile communication; Internet; computerised instrumentation; fingerprint identification; finite state machines; intelligent sensors; microcomputers; mobile handsets; neural nets; quality of service; telecommunication traffic; transport protocols; wireless LAN; 3G; Internet connectivity; Internet service provider; TCP; Wi-Fi; finite state machines; mobile devices; neural networks; personal computers; quality of service; smart device fingerprint detection; traffic; Computers; IP networks; Internet; Mobile handsets; Object recognition; Operating systems; Protocols; Device detection; Network Protocols; Traffic Engineering; Traffic classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Globecom Workshops (GC Wkshps), 2012 IEEE
Conference_Location
Anaheim, CA
Print_ISBN
978-1-4673-4942-0
Electronic_ISBN
978-1-4673-4940-6
Type
conf
DOI
10.1109/GLOCOMW.2012.6477587
Filename
6477587
Link To Document