Traffic classification through simple statistical fingerprinting
ACM SIGCOMM Computer Communication Review
Early application identification
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Profiling and identification of P2P traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Challenging statistical classification for operational usage: the ADSL case
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Libtrace: a packet capture and analysis library
ACM SIGCOMM Computer Communication Review
A survey of techniques for internet traffic classification using machine learning
IEEE Communications Surveys & Tutorials
A Survey on Internet Traffic Identification
IEEE Communications Surveys & Tutorials
Issues and future directions in traffic classification
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.00 |
The Copyright (Infringing File Sharing) Amendment Act 2011 (CAA) is a New Zealand law that aims to provide copyright holders with legal recourse when content is illegally shared over the Internet. This paper presents a study of residential DSL user behaviour using packet traces captured at a New Zealand ISP before, shortly after and several months after the CAA coming into effect. We use libprotoident to classify the observed traffic based on the application protocol being used to identify and examine any changes in traffic patterns that may be a result of the new law. We find that the use of peer-to-peer applications declined significantly once the CAA was in effect, suggesting a strong correlation. We also found that there were increases in tunneling, secure file transfer and remote access traffic amongst a small segment of the user population, which may indicate an increased uptake in the use of foreign seedboxes to bypass the jurisdiction of the CAA.