Malicious botnet survivability mechanism evolution forecasting by means of a genetic algorithm / Kenkėjiškų botnet tinklų išgyvenamumo mechanizmų evoliucijos prognozavimas genetinio algoritmo priemonėmis

Malicious botnet survivability mechanism evolution forecasting by means of a genetic algorithm / Kenkėjiškų botnet tinklų išgyvenamumo mechanizmų evoliucijos prognozavimas genetinio algoritmo priemonėmis

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 p...

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Bibliographic Details
Main Authors: Nikolaj Goranin, Antanas Čenys, Jonas Juknius
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2012-04-01
Series:Mokslas: Lietuvos Ateitis
Subjects:
botnet
genetic
algorithm
forecasting
survivability
evolution
Online Access:http://journals.vgtu.lt/index.php/MLA/article/view/4479

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