Publication Date
Spring 2011
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
The peer-to-peer (P2P) technology has been well developed with the internet networking and BitTorrent (BT) is one of the very popular P2P sharing protocols widely used. BT network traffic detection has become very challenging in recent years due to smarter peer-to-peer applications. During my CS297 project, a new improved detection method based on Deep Packet Inspection (DPI) and Deep Flow Inspection (DFI) was proposed for detecting BT packets. The preliminary experiments show promising results in terms of detection rate. In my CS298 project, the proposed method is implemented in C and Matlab. In addition, the detection rate and performance of the proposed method was also compared with other existing methods. The major results have been submitted to a conference for a paper.
Recommended Citation
Wong, Raymond, "BitTorrent Traffic Detection with Deep Packet Inspection and Deep Flow Inspection" (2011). Master's Projects. 250.
DOI: https://doi.org/10.31979/etd.6d8k-gr9q
https://scholarworks.sjsu.edu/etd_projects/250
