Android Internet Traffic Classification Based on Bayesian Analysis Techniques

DOI

10.2991/iccmcee-15.2015.113How to use a DOI?

Keywords

traffic classification, Naive Bayesian, Android data flow

Abstract

The wireless telecommunication techniques based on android operation system has been widely used both in life and work. It is of huge importance to classify and monitor the accurate android network traffic . However, the appliance of port jump technique and port encryption technique make classifying network traffic based on port type become much less effective. Here we put forward a method based on Naive Bayesian Analysis to classify different Android application, which combines the features of network data flow and Naive Bayesian. The experimental results show that this method has high classification accuracy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - DaWei Luo
AU  - ZiJian Han
AU  - ShangShu Chen
AU  - ShangDong Liu
PY  - 2015/11
DA  - 2015/11
TI  - Android Internet Traffic Classification Based on Bayesian Analysis Techniques
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 624
EP  - 627
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.113
DO  - 10.2991/iccmcee-15.2015.113
ID  - Luo2015/11
ER  -