On botnet behaviour analysis using GP and C4.5
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Haddadi:2014:GECCOcomp,
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author = "Fariba Haddadi and Dylan Runkel and
A. Nur Zincir-Heywood and Malcolm I. Heywood",
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title = "On botnet behaviour analysis using {GP} and {C4.5}",
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booktitle = "GECCO 2014 Workshop on genetic and evolutionary
computation in defense, security and risk management
(SecDef)",
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year = "2014",
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editor = "Anna I Esparcia-Alcazar and Frank W. Moore",
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isbn13 = "978-1-4503-2881-4",
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keywords = "genetic algorithms, genetic programming",
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pages = "1253--1260",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "https://web.cs.dal.ca/~mheywood/OpenAccess/open-haddadi14.pdf",
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URL = "http://doi.acm.org/10.1145/2598394.2605435",
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DOI = "doi:10.1145/2598394.2605435",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Botnets represent a destructive cyber security threat
that aim to hide their malicious activities within
legitimate Internet traffic. Part of what makes botnets
so affective is that they often upgrade themselves over
time, hence reacting to improved detection mechanisms.
In addition, Internet common communication protocols
(i.e. HTTP) are used for the purposes of constructing
subversive communication channels. This work employs
machine learning algorithms (genetic programming and
decision trees) to detect distinct behaviours in
various botnets. That is to say, botnets mimic
legitimate HTTP traffic while actually serving botnet
purposes. To this end, two different feature sets are
employed and analysed to see how differences between
three botnets - Zeus, Conficker and Torpig - can be
distinguished. Specific recommendations are then made
regarding the utility of different feature sets and
machine learning algorithms for detecting each type of
botnet.",
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notes = "Also known as \cite{2605435} Distributed at
GECCO-2014.",
- }
Genetic Programming entries for
Fariba Haddadi
Dylan Runkel
Nur Zincir-Heywood
Malcolm Heywood
Citations