913 Malicious Network Traffic PCAPs and Binary Visualisation Images Dataset
- Citation Author(s):
-
Joseph Rose
(The University of Portsmouth)
Matthew Swann
(The University of Portsmouth)
Gueltoum Bendiab
(The University of Portsmouth)
Stavros Shiaeles
(The University of Portsmouth)
Nicholas Kolokotronis
(University of Peloponnese)
- Submitted by:
- Joseph Rose
- Last updated:
- DOI:
- 10.21227/pda3-zy88
- Data Format:
- Links:
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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 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.
Instructions:
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.
Please share the dataset.
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