Comprehensive Advanced Persistent Threats Dataset

Due to the complex nature of Advanced Persistent Threats (APTs) and their rapid evolvement, comprehensive datasets are needed to understand them. However, acquiring such datasets remains a challenge due to the lack of precise reports describing the attacks, realistic emulation, the extensive attack diversity, and concerns regarding data privacy. In this letter, we built a testbed for APTs and implemented 23 campaigns for 12 APTs using MITRE Caldera. For each campaign, we share the adversary profile, the abilities, the low-level telemetries, and the MITRE techniques. By making this comprehensive dataset openly accessible, our work supports academia and industry to strengthen cybersecurity research and develop robust defenses against the constantly evolving APTs.

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Publication Details

Journal
IEEE Networking Letters
Published
2025-03-17
DOI
https://doi.org/10.1109/lnet.2025.3551989
Citations
2
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.97
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Comprehensive Advanced Persistent Threats Dataset

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2 citations
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2.97
article

Comprehensive Advanced Persistent Threats Dataset

Mourad Debbabi, Chadi Assi, Boubakr Nour, Makan Pourzandi, Abdussamad Syed
article en
2 citations

Abstract

Due to the complex nature of Advanced Persistent Threats (APTs) and their rapid evolvement, comprehensive datasets are needed to understand them. However, acquiring such datasets remains a challenge due to the lack of precise reports describing the attacks, realistic emulation, the extensive attack diversity, and concerns regarding data privacy. In this letter, we built a testbed for APTs and implemented 23 campaigns for 12 APTs using MITRE Caldera. For each campaign, we share the adversary profile, the abilities, the low-level telemetries, and the MITRE techniques. By making this comprehensive dataset openly accessible, our work supports academia and industry to strengthen cybersecurity research and develop robust defenses against the constantly evolving APTs.

IEEE Networking LettersVol. 7(2)
Ericsson (Canada) (CA), Concordia University (CA)
Climate action
Openalex Percentile: Top 10%
Network Security and Intrusion Detection
2.97
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