Datasets Comparison

This dataset contains network traffic samples focused on DNS Data Exfiltration (DNS Tunneling), designed for training and validating Machine Learning models in Cybersecurity. The data was collected in a controlled environment, simulating both legitimate DNS traffic and malicious exfiltration activities using well-known tools such as dnscat2. This dataset is intended for researchers working on Intrusion Detection Systems (IDS), network traffic analysis, and the development of robust models against modern traffic mimicry techniques used by malware. This dataset consists of 109.359 records, categorized into two classes: Benign (99,995 samples) and Exfiltration (9.364 samples).

Follow: https://github.com/ViniciusDMRocha/dataset-exfiltracao-DNS

Cybersecurity

Creative Commons Attribution 4.0 International

This dataset contains network traffic samples focused on DNS Data Exfiltration (DNS Tunneling), designed for training and validating Machine Learning models in Cybersecurity. The data was collected in a controlled environment, simulating both legitimate DNS traffic and malicious exfiltration activities using well-known tools such as dnscat2. This dataset is intended for researchers working on Intrusion Detection Systems, network traffic analysis, and the development of robust models against modern traffic mimicry techniques used by malware. This dataset consists of 109.359 records, categorized into two classes: Benign (99.995 samples) and Exfiltration (9.364 samples).

Follow: https://github.com/ViniciusDMRocha/dataset-exfiltracao-DNS

Cybersecurity

Creative Commons Attribution 4.0 International