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ICS_PCAPS

ICS Cybersecurity PCAP repository

This repository includes a series of PCAP captures generated for cybersecurity research purposes. Each capture set is provided as a release, namely:

This repository will be continuously updated with new traces, as our research effort evolves.

If you use these trace captures for your own research, we ask you to please cite the corresponding article for which they were generated, in your own publications

REFERENCES

[1] Frazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classification Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19

LICENSE

The content of this repository itself is licensed under the Creative Commons Attribution 3.0 Unported license, and the underlying source code used to format and display that content is licensed under the MIT license.

CREDITS

These captures were undertaken and provided by a team from the University of Coimbra (Portugal), working under the auspices of the ATENA H2020 project.

Name:
ICS Cybersecurity PCAP repository
Description:
ICS Cybersecurity PCAP repository from the Univ. of Coimbra CyberSec team
10.1007/978-3-030-05849-4_19
Frazão, I. and Pedro Henriques Abreu and Tiago Cruz and Araújo, H. and Simões, P. , "Denial of Service Attacks: Detecting the frailties of machine learning algorithms in the Classification Process", in 13th International Conference on Critical Information Infrastructures Security (CRITIS 2018), ed. Springer, Kaunas, Lithuania, September 24-26, 2018, Springer series on Security and Cryptology , 2018. DOI: 10.1007/978-3-030-05849-4_19
Category:
ICS Cybersecurity
Downloads:

ics_pcaps's People

Contributors

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ics_pcaps's Issues

Inquiry letter

Hello, thank you for sharing your data, I am a graduate student, I intend to use this dataset for research, in the course of the experiment, there were some doubts, mainly including: failure to understand modbusQuery Flooding This type of attack compared to other types of attacks, in the same attack duration and capture time, the amount of data is very large. We hope you will take the time out of your busy schedule to answer questions. We look forward to your response and wish you every success in your work.

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