DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries

ArXi:2603.11200v1 Announce Type: cross Network intrusion detection systems play a crucial role in the security strategy employed by organisations to detect and prevent cyberattacks. Such systems usually combine pattern detection signatures with anomaly detection techniques powered by machine learning methods. However, the commonly proposed machine learning methods present drawbacks such as over-reliance on labeled data and limited generalization capabilities. To address these issues, embedding-based methods have been