Classification of audio and video traffic over HTTP protocol
Issued Date
2009
Resource Type
Language
eng
Rights
Mahidol University
Rights Holder(s)
IEEE Xplore
Suggested Citation
Samruay Kaoprakhon, Vasaka Visoottiviseth, วัสกา วิสุทธิวิเศษ (2009). Classification of audio and video traffic over HTTP protocol. doi:10.1109/ISCIT.2009.5341026 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/10454
Title
Classification of audio and video traffic over HTTP protocol
Other Contributor(s)
Abstract
A widely use of the Internet introduces various
online services such as online game, radio online, music online,
TV online and video clips, which communicate over Hyper Text
Transfer Protocol (HTTP). In this work, we aim to classify an
audio and a video traffic from normal web traffic to reduce the
misuse of bandwidth consumption. We propose a classification
method based on flow information. Our classification use a
combination of keyword matching technique and statistical
behavior profiles. Keywords are pre-defined by observing from
both audio and video traffic. Behavior profiles consist of three
attributes, which are the average received packet size, a ratio of
number of server-client packets, and the flow duration. Each
attribute have an independent threshold of mean (µ) and
standard deviation (σ). The experimental results show that our
method can classify an audio traffic, a video traffic and normal
web traffic with a high precision and recall.
Description
The 9th International Symposium on Communication and Information Technology 2009 (ISCIT 2009). Incheon, Korea, Page 1534 - 1539