Unveiling Skype encrypted tunnels using GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Alshammari:2010:cec,

• author = "Riyad Alshammari and A. Nur Zincir-Heywood",
• title = "Unveiling Skype encrypted tunnels using GP",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "The classification of Encrypted Traffic, namely Skype, from network traffic represents a particularly challenging problem. Solutions should ideally be both simple -therefore efficient to deploy -and accurate. Recent advances to team-based Genetic Programming provide the opportunity to decompose the original problem into a subset of classifiers with non-overlapping behaviours. Thus, in this work we have investigated the identification of Skype encrypted traffic using Symbiotic Bid-Based (SBB) paradigm of team based Genetic Programming (GP) found on flow features without using IP addresses, port numbers and payload data. Evaluation of SBB-GP against C4.5 and AdaBoost -representing current best practice -indicates that SBB-GP solutions are capable of providing simpler solutions in terms number of features used and the complexity of the solution/model without sacrificing accuracy.",
• DOI = "doi:10.1109/CEC.2010.5586288",
• notes = "WCCI 2010. Also known as \cite{5586288}",

}

Genetic Programming entries for Riyad Alshammari Nur Zincir-Heywood

Citations