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 | |
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DGA Detection Word2Vec TF-IDF n-grams Lexicographic Analysis DNS Machine Learning |
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| 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) |
| Sumario: | 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. |
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