MalVol-25 is a new dataset of 30 clean and infected Windows memory dumps from 15 malware variants, intended for ML and agentic AI detection research.
Creation of a Dataset Modeling the Behavior of Malware in IoT Devices
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MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
MalVol-25 is a new dataset of 30 clean and infected Windows memory dumps from 15 malware variants, intended for ML and agentic AI detection research.