Cybersecurity Research Datasets

November 18, 2019

Best practices, Methods, Research

A challenging aspect of cybersecurity data science (CSDS) concerns a lack of labeled datasets which record incidents and attacks. Such data is necessary for understanding attack vectors and for training and validating predictive models.

A number of cybersecurity research datasets are now available and should be of interest to researchers and practitioners:
• CSE-CIC-IDS2018 on AWS:
• HoneyPot Project:
• LANL CSR Red Teaming:
• CTU-13 CTU University:
• VizSec:
• Cyber Data Sets:
• Malware Traffic Analysis:
• MIT Lincoln Laboratory IDS Data Sets:
• Center for Applied Internet Data Analysis (CAIDA) Data Sets:
• Protected Repository for the Defense of Infrastructure Against Cyber Threats (PREDICT):
• NSA Cyber Defense Exercise Data Set:

Are there new datasets you feel should be added to the list?  Let me know by messaging and will add!


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About SARK7

Scott Allen Mongeau (@SARK7), an INFORMS Certified Analytics Professional (CAP), is a researcher, lecturer, and consulting Data Scientist. Scott has over 30 years of project-focused experience in data analytics across a range of industries, including IT, biotech, pharma, materials, insurance, law enforcement, financial services, and start-ups. Scott is a part-time lecturer and PhD (abd) researcher at Nyenrode Business University on the topic of data science. He holds a Global Executive MBA (OneMBA) and Masters in Financial Management from Erasmus Rotterdam School of Management (RSM). He has a Certificate in Finance from University of California at Berkeley Extension, a MA in Communication from the University of Texas at Austin, and a Graduate Degree (GD) in Applied Information Systems Management from the Royal Melbourne Institute of Technology (RMIT). He holds a BPhil from Miami University of Ohio. Having lived and worked in a number of countries, Scott is a dual American and Dutch citizen. He may be contacted at: LinkedIn: Twitter: @sark7 Blog: Web: All posts are copyright © 2020 SARK7 All external materials utilized imply no ownership rights and are presented purely for educational purposes.

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