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:
Sun, 03/07/2021 - 13:49
DOI:
10.21227/pda3-zy88
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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.

Comments

Accessing dataset to learn about the visual representation of network traffic

Submitted by Gaurav Dwivedi on Mon, 04/05/2021 - 18:28