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
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
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 n
About the dataset : A comprehensive phishing dataset which includes labelled phishing as well as legitimate URLs along with their respective HTML codes. Each URL and its HTML code file is associated
Dataset used in "Selvi, J., Rodríguez, R. J., & Soria-Olivas, E. (2019). Detection of algorithmically generated malicious domain names using masked N-grams. Expert Systems with Applications, 124, 156-
