Unveiling Skype encrypted tunnels using GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Alshammari:2010:cec,
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author = "Riyad Alshammari and A. Nur Zincir-Heywood",
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title = "Unveiling Skype encrypted tunnels using GP",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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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.",
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DOI = "doi:10.1109/CEC.2010.5586288",
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notes = "WCCI 2010. Also known as \cite{5586288}",
- }
Genetic Programming entries for
Riyad Alshammari
Nur Zincir-Heywood
Citations