Detail aplikovaného výsledku
DGA Hunter
BUČKO, F.; HRANICKÝ, R.
Original Title
DGA Hunter
English Title
DGA Hunter
Type
Software
Abstract
DGA Hunter is a Django-based web application that can detect and categorize domains generated by DGA algorithms to reveal hidden botnet communication channels. The application achieves high detection accuracy by using advanced machine learning techniques and two integrated classifiers. The binary classifier is able to detect whether a domain name is of algorithmic origin. The second, multiclass classifier, is then able to detect the probable DGA family.
Abstrakt aglicky
DGA Hunter is a Django-based web application that can detect and categorize domains generated by DGA algorithms to reveal hidden botnet communication channels. The application achieves high detection accuracy by using advanced machine learning techniques and two integrated classifiers. The binary classifier is able to detect whether a domain name is of algorithmic origin. The second, multiclass classifier, is then able to detect the probable DGA family.
Keywords
Botnet, DGA, Detection, Classification, C&C, Feature engineering, XGBoost
Key words in English
Botnet, DGA, Detection, Classification, C&C, Feature engineering, XGBoost
Location
Aplikace je ke stažení v přiložených souborech.
Licence fee
In order to use the result by another entity, it is always necessary to acquire a license
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Documents
Responsibility: Ing. Marek Strakoš