The dataset is meant for supervised machine learning based analysis of malicious and non-malicious domain names. The dataset was created from scratch, using publicly DNS logs of both malicious and non
Datasets used to evaluate a proposed DGA detection approach using Integrated transformer embeddings from large language models.The original full dataset is available from:GitHub - chrmor/DGA_domains_d
This dataset results from a 47-day cloud-based Internet Background Radiation capture conducted in August and September 2023. The dataset contains unsolicited and unfiltered traffic arriving at 260 EC2
