Science – Future of Lithuania / Mokslas – Lietuvos Ateitis, Vol 4, No 1 (2012)

Malicious Botnet Survivability Mechanism Evolution Forecasting by Means of a Genetic Algorithm

Nikolaj Goranin
Antanas Čenys
Jonas Juknius


Botnets are considered to be among the most dangerous modern malware types and the biggest current threats to global IT infrastructure. Botnets are rapidly evolving, and therefore forecasting their survivability strategies is important for the development of countermeasure techniques. The article propose the botnet-oriented genetic algorithm based model framework, which aimed at forecasting botnet survivability mechanisms. The model may be used as a framework for forecasting the evolution of other characteristics. The efficiency of different survivability mechanisms is evaluated by applying the proposed fitness function. The model application area also covers scientific botnet research and modelling tasks.

Article in: English

Article published: 2012-04-23

Keyword(s): botnet; genetic; algorithm; forecasting; survivability; evolution; model

DOI: 10.3846/mla.2012.04

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Science – Future of Lithuania / Mokslas – Lietuvos Ateitis ISSN 2029-2341, eISSN 2029-2252
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