Abstract
The peer-to-peer (P2P) technology has been well developed over the Internet. BitTorrent (BT) is one of the most popular P2P sharing protocols. BT network traffic detection has become increasingly important since ISP and enterprise networks often want to detect and limit P2P traffic for other critical applications. We propose a new detection method that is based on an intelligent combination of Deep Packet Inspection (DPI) and Deep Flow Inspection (DFI) with semi-supervised learning. Comparing with existing methods, the new method has achieved equally high accuracy with shorter classification time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Erman, J., Mahanti, A., Arlitt, M., Cohen, I., Williamson, C.: Offline/Realtime Traffic Classification Using Semi-Supervised Learning. IFIP Performance (October 2007)
Liu, B., Li, Z., Li, Z.: Measurements of Bit Torrent System Based on Netfilter. In: 2006 International Conference on Computational Intelligence and Security, vol. 2, pp. 1470–1474 (2006), doi:10.1109/ICCIAS.2006.295304
Liu, F., Li, Z., Yu, J.: Applications Identification Based on the Statistics Analysis of Packet Length. In: International Symposium on Information Engineering and Electronic Commerce, IEEC 2009, pp. 160–163 (2009), doi:10.1109/IEEC.2009.38
Wang, C., Li, T., Chen, H.: P2P Traffic Identification Based on Double Layer Characteristics. In: International Conference on Information Technology and Computer Science, ITCS 2009, vol. 2, pp. 593–596 (2009), doi:10.1109/ITCS.2009.298
Tan, P.-N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Pearson Addison Wesley, USA (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wong, R.S., Moh, TS., Moh, M. (2012). Efficient Semi-supervised Learning BitTorrent Traffic Detection - An Extended Summary. In: Bononi, L., Datta, A.K., Devismes, S., Misra, A. (eds) Distributed Computing and Networking. ICDCN 2012. Lecture Notes in Computer Science, vol 7129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25959-3_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-25959-3_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25958-6
Online ISBN: 978-3-642-25959-3
eBook Packages: Computer ScienceComputer Science (R0)