search query: @keyword TCP/IP / total: 67
reference: 4 / 67
« previous | next »
Author:Ud Din, Fawad
Title:Mobile Internet Traffic Analysis: Session Level Approach
Publication type:Master's thesis
Publication year:2013
Pages:xiv + 62      Language:   eng
Department/School:Sähkötekniikan korkeakoulu
Main subject:Network Economics   (ETA3003)
Supervisor:Hämmäinen, Heikki
Instructor:Riikonen, Antti
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201310157691
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  1532   | Archive
Keywords:mobile internet
traffic measurements
session
Tstat
RADIUS
TCP/IP
Abstract (eng):The accessibility and usage of the Internet has tremendously increased in recent years.
Smartphones and mobile networks played a critical role to enhance accessibility and usage of Internet.
The increase of data and it's usage on Internet has also created many opportunities to analyze the data to gain understanding regarding its usage.
This thesis focuses on analysis of the mobile Internet traffic on session level.
The data utilized in this research are mobile Internet traffic traces from Finland.
Two different measurement points of mobile networks were used to measure data, and these two data sets were mapped together in this thesis to provide detailed information regarding session level usage characteristics.
The mappings of TCP/IP flows to the sessions from RADIUS server data were based on matching the timestamps and IP addresses.
These mappings resulted in more than 94% accuracy.
The device identification was based on HTTP user agent based approach and for Internet protocol identification Tstat classifier was utilized along with port number analysis.
The session level statistics show that session volumes and durations are widely spread with majority of sessions having short duration and low traffic volume.
The number of sessions generated from handsets is higher when compared to other devices.
The device type analysis also shows that personal computer sessions have higher volume and last longer than handset and tablet sessions.
The protocol level analysis indicates that web (HTTP) sessions are longer and have higher volume than email (IMAP4, POP3), and secured (SSL) sessions.
The analysis shows that mapping of RADIUS data and TCP/IP flows provides deeper understanding of session level traffic characteristics.
These mapping results could be utilized for modeling user behavior on a session level.
In future this session level analysis could be used to gain knowledge regarding user's behavior to support different pricing schemes for different user groups.
ED:2013-12-02
INSSI record number: 48074
+ add basket
« previous | next »
INSSI