CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data

CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data

The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017...

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Bibliographic Details
Main Authors: Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Data in Brief
Subjects:
Cybersecurity
Anomaly detection
Network simulation
Augmented data
Heterogeneous data
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925000861
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