Title
Enhanced Skype traffic identification
Abstract
Skype applies strong encryption to provide secure communication inside the whole Skype network. The communication ports of clients are chosen randomly. As a consequence, traditional port based or payload based identification of Skype traffic cannot be applied. In this paper we present a novel flow dynamics based identification method to discover both Skype hosts and voice calls. The method is based only on packet headers and extracted flow level information. This method is the second algorithm from our research. It has a significant improvement over our first method [1]. It can detect the randomly selected communication port of the Skype client, which makes the identification more reliable. The whole identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the new algorithm together with the analysis of the identification results.
Year
DOI
Venue
2007
10.5555/1345263.1345297
VALUETOOLS
Keywords
Field
DocType
enhanced skype traffic identification,whole skype network,identification result,secure communication,skype host,whole identification process,flow level information,identification method,communication port,skype traffic,skype client,analysis
Traffic identification,Port (computer networking),Computer science,Network packet,Computer network,Real-time computing,Strong cryptography,Secure communication,Payload
Conference
ISBN
Citations 
PageRank 
978-963-9799-00-4
10
0.76
References 
Authors
7
2
Name
Order
Citations
PageRank
Marcell Perényi1684.53
Sándor Molnár230638.56