IoT Healthcare Security Code & Dataset

IoT Healthcare Security Code & Dataset

• This repository contains IoT normal and malicious traffic dataset and code of an IoT healthcare use case.

• We created a use case of an IoT-based ICU with the capacity of 2 beds, where each bed is equipped with nine patient monitoring devices (i.e., sensors) and one control unit called as Bedx-Control-Unit. All these devices were created using the IoT-Flock tool (available at: https://github.com/ThingzDefense/IoT-Flock )

IoT Healthcare Security Dataset Details

The following paper provides the details of how did we create this datset?

Paper: A Framework for Malicious Traffic Detection in IoT Healthcare

Authors: Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A.Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski

Publisher: MDPI Sensors

Online at: https://www.mdpi.com/1424-8220/21/9/3025

BibTex:

@Article{s21093025,

AUTHOR = {Hussain, Faisal and Abbas, Syed Ghazanfar and Shah, Ghalib A. and Pires, Ivan Miguel and Fayyaz, Ubaid U. and Shahzad, Farrukh and Garcia, Nuno M. and Zdravevski, Eftim},

TITLE = {A Framework for Malicious Traffic Detection in IoT Healthcare Environment},

JOURNAL = {Sensors},

VOLUME = {21},

YEAR = {2021},

NUMBER = {9},

ARTICLE-NUMBER = {3025},

URL = {https://www.mdpi.com/1424-8220/21/9/3025},

ISSN = {1424-8220},

DOI = {10.3390/s21093025}

}

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Run the script to convert pcap files into csv : 'Code/pcap2Csv.py'