Botnet Detection System Analysis on the Effect of Botnet Evolution and Feature Representation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Haddadi:2015:GECCOcomp,
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author = "Fariba Haddadi and A. Nur Zincir-Heywood",
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title = "Botnet Detection System Analysis on the Effect of
Botnet Evolution and Feature Representation",
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booktitle = "SecDef'2015 - Workshop on genetic and evolutionary
computation in defense, security and risk management",
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year = "2015",
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editor = "Frank W. Moore and Nur Zincir-Heywood",
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isbn13 = "978-1-4503-3488-4",
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keywords = "genetic algorithms, genetic programming",
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pages = "893--900",
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month = "11-15 " # jul,
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organisation = "SIGEVO",
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address = "Madrid, Spain",
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URL = "http://doi.acm.org/10.1145/2739482.2768435",
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DOI = "doi:10.1145/2739482.2768435",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Botnets are known as one of the main destructive
threats that have been active since 2003 in various
forms. The ability to upgrade the structure and
algorithms on the fly is part of what causes botnets to
survive for more than a decade. Hence, one of the main
concerns in designing a botnet detection system is how
long such a system can be effective and useful
considering the evolution of a given botnet.
Furthermore, the data representation and the feature
extraction components have always been an important
issue in order to design a robust detection system. In
this work, we employ machine learning algorithms
(genetic programming and decision trees) to explore two
questions: (i) How can the representation of
non-numeric features effect the detection system's
performance? and (ii) How long can a machine learning
based detection system can perform effectively? To this
end, we gathered seven Zeus botnet data sets over a
period of four years and analysed three different data
representation techniques to be able to explore
aforementioned questions.",
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notes = "Also known as \cite{2768435} Distributed at
GECCO-2015.",
- }
Genetic Programming entries for
Fariba Haddadi
Nur Zincir-Heywood
Citations