On botnet behaviour analysis using GP and C4.5

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

@InProceedings{Haddadi:2014:GECCOcomp,

• author = "Fariba Haddadi and Dylan Runkel and A. Nur Zincir-Heywood and Malcolm I. Heywood",
• title = "On botnet behaviour analysis using {GP} and {C4.5}",
• booktitle = "GECCO 2014 Workshop on genetic and evolutionary computation in defense, security and risk management (SecDef)",
• year = "2014",
• editor = "Anna I Esparcia-Alcazar and Frank W. Moore",
• isbn13 = "978-1-4503-2881-4",
• keywords = "genetic algorithms, genetic programming",
• pages = "1253--1260",
• month = "12-16 " # jul,
• organisation = "SIGEVO",
• address = "Vancouver, BC, Canada",
• URL = "https://web.cs.dal.ca/~mheywood/OpenAccess/open-haddadi14.pdf",
• URL = "http://doi.acm.org/10.1145/2598394.2605435",
• DOI = "doi:10.1145/2598394.2605435",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• 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.",
• notes = "Also known as \cite{2605435} Distributed at GECCO-2014.",

}

Genetic Programming entries for Fariba Haddadi Dylan Runkel Nur Zincir-Heywood Malcolm Heywood

Citations