Description
Link to dataset in IEEE DataPort.
Abstract:
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 visualisation format, compressed into the document traffic-dataset.zip.
The remaining 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.
Abstract:
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 visualisation format, compressed into the document traffic-dataset.zip.
The remaining 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.
| Date made available | 2 Jul 2021 |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers Inc. |