913 Malicious Network Traffic PCAPs and Binary Visualisation Images Dataset
Datasets as described in the research paper "Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications".There are two main dataset provided here, firstly is the data relating to the initial training of the machine learning module for both normal and malicious traffic, these are in binary visulisation format, compresed into the document traffic-dataset.zip.
The remainin data is provided by this repository in attackScenario.zip and attackSenarioImages.zip, thee are the images generated from each of the five attack scenario packet captures, as well as their associated PCAP files.
Each dataset is provided in compressed ZIP files, no password protection is present and no malicious files are contained herein, only their network traffic and image representations relevant to the project.
- Initial training images for binary classification in the machine learning component trafic-dataset.zip (63.47 MB)
- Packet capture files of each attack scenario attackScenarios.zip (56.72 MB)
- Images generated using the binary visualisation method against each attack scenario for classification attackScenarioImages.zip (4.78 MB)