Can We Trust the Inter-Packet Time for Traffic Classification?

  title={Can We Trust the Inter-Packet Time for Traffic Classification?},
  author={Mohamad Jaber and Roberto G. Cascella and Chadi Barakat},
  journal={2011 IEEE International Conference on Communications (ICC)},
The identification of Internet applications is important for ISPs and network administrators to protect the network from unwanted traffic and prioritize some major applications. Statistical methods are widely used since they allow to classify applications according to their statistical signatures. They combine the statistical analysis of flow parameters, such as packet size and inter-packet time, with machine learning techniques. Previous works are mainly based on the packet size and the… CONTINUE READING
Highly Cited
This paper has 31 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 20 extracted citations

Online Traffic Classification Based on Co-training Method

2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies • 2012
View 6 Excerpts
Highly Influenced

Learning behavioral fingerprints from Netflows using Timed Automata

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) • 2017
View 1 Excerpt

A Web Traffic Analysis Attack Using Only Timing Information

IEEE Transactions on Information Forensics and Security • 2016
View 1 Excerpt

A first-hop traffic analysis attack against a femtocell

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) • 2016
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 11 references

Automated traffic classification and application identification using machine learning

The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l • 2005
View 1 Excerpt

Similar Papers

Loading similar papers…