Dom2Vec - Detecting DGA domains through word embeddings and AI/ML-driven lexicographic analysis
Resumen:
The timely identification of DNS queries to Domain Generation Algorithm (DGA) domains plays a critical role in mitigationg malware propagation and its potential impact, especially in thwarting coordinated botnet activity. We introduce Dom2Vec, an innovative approach for swiftly detecting DGA-generated domains by lveraring lexicographic features exclusively derived from the observed domain names in DNS queries.
2023 | |
DGA Detection Word2Vec TF-IDF n-grams Lexicographic Analysis DNS Machine Learning |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/39872 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Resultados similares
-
Vector representation of Internet domain names using Word embedding techniques
Autor(es):: López Anzolabehere, Waldemar Joel
Fecha de publicación:: (2019) -
Extensiones al protocolo EPP para el sistema de registro de dominios .uy :Informe Final
Autor(es):: Cal, Pablo
Fecha de publicación:: (2011) -
The care of the friend in word and silence. The case of Alipio
Autor(es):: Magnavacca, Silvia
Fecha de publicación:: (2017) -
EasyMed : asistente para la plataforma educativa EviMed.
Autor(es):: Introini, Diego
Fecha de publicación:: (2024) -
Enzymatic synthesis of new antimicrobial peptides for food purposes
Autor(es):: Adaro, Mauricio
Fecha de publicación:: (2023)