Latest revision as of 16:11, 21 January 2021

Abstract

One of the most important challenges for network administrators is the identification of applications behind the Internet traffic. This identification serves for many purposes as in network security, traffic engineering and monitoring. The classical methods based on standard port numbers or deep packet inspection are unfortunately becoming less and less efficient because of encryption and the utilization of non standard ports. In this paper we come up with an online iterative probabilistic method that identifies applications quickly and accurately by only using the size of packets. Our method associates a configurable confidence level to the port number carried in the transport header and is able to consider a variable number of packets at the beginning of a flow. By verification on real traces we observe that even in the case of no confidence in the port number, a very high accuracy can be obtained for well known applications after few packets were examined.

Original document

The different versions of the original document can be found in:

• https://link.springer.com/content/pdf/10.1007%2F978-3-642-01399-7_23.pdf

• http://link.springer.com/content/pdf/10.1007/978-3-642-01399-7_23,

http://dx.doi.org/10.1007/978-3-642-01399-7_23 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-642-01399-7_23,

http://www-sop.inria.fr/members/Chadi.Barakat/Networking2009.pdf,

https://www.scipedia.com/public/Jaber_Barakat_2009a,

https://dblp.uni-trier.de/db/conf/networking/networking2009.html#JaberB09,

https://rd.springer.com/chapter/10.1007/978-3-642-01399-7_23,

https://academic.microsoft.com/#/detail/1576611803