Datasets
Open Access
913 Malicious Network Traffic PCAPs and Binary Visualisation Images Dataset
- Citation Author(s):
-
JosephRose
The University of PortsmouthMatthewSwannThe University of PortsmouthGueltoumBendiabThe University of PortsmouthStavrosShiaelesThe University of PortsmouthNicholasKolokotronisUniversity of Peloponnese - Submitted by:
- Joseph Rose
- Last updated:
- Sun, 03/07/2021 - 13:49
- DOI:
- 10.21227/pda3-zy88
- Data Format:
- Links:
- License:
5756 Views- Categories:
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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.
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.
Dataset Files
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)
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Comments
Accessing dataset to learn about the visual representation of network traffic
Accessing dataset to learn about the visual representation of network traffic
Accessing dataset to learn about the visual representation of network traffic
Accessing dataset to learn about the visual representation of network traffic
Please, provide the dataset
Please share the dataset.
.