Android Internet Traffic Classification Based on Bayesian Analysis Techniques
DaWei Luo, ZiJian Han, ShangShu Chen, ShangDong Liu
Available Online November 2015.
- 10.2991/iccmcee-15.2015.113How to use a DOI?
- traffic classification, Naive Bayesian, Android data flow
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.
- © 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/).
Cite this article
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 -