Data

Matthew Gaber: Peekaboo Transformer Models

Edith Cowan University
Helge Janicke (Aggregated by) Matthew Gaber (Aggregated by) Mohiuddin Ahmed (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25958/z82g-1e40&rft.title=Matthew Gaber: Peekaboo Transformer Models&rft.identifier=https://drive.google.com/drive/folders/101B4qsmzfGVKGrJuLgdlINrcGJber9dO&rft.publisher=Edith Cowan University&rft.description=Finding automated AI techniques to proactively defend against malware has become increasingly critical. The ability of an AI model to correctly classify novel malware is dependent on the quality of the features it is trained with. In turn, the authenticity and quality of the features is dependent on the analysis tool and the dataset. Peekaboo, a Dynamic Binary Instrumentation tool defeats evasive malware to capture its genuine behavior. Transformer models trained with Peekaboo data excel in detecting new malicious functions, outperforming prior approaches in novel ransomware detection.This dataset contains the fine tuned models and the Colab scripts used for training and testing.&rft.creator=Helge Janicke&rft.creator=Matthew Gaber&rft.creator=Mohiuddin Ahmed&rft.date=2024&rft_rights= http://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Dynamic binary instrumentation&rft_subject=malware analysis&rft_subject=feature extraction&rft_subject=ransomware&rft_subject=transformers&rft_subject=LLM&rft_subject=AI&rft_subject=DBI&rft_subject=Computer Engineering&rft.type=dataset&rft.language=English Access the data

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Matthew Gaber

Full description

Finding automated AI techniques to proactively defend against malware has become increasingly critical. The ability of an AI model to correctly classify novel malware is dependent on the quality of the features it is trained with. In turn, the authenticity and quality of the features is dependent on the analysis tool and the dataset. Peekaboo, a Dynamic Binary Instrumentation tool defeats evasive malware to capture its genuine behavior. Transformer models trained with Peekaboo data excel in detecting new malicious functions, outperforming prior approaches in novel ransomware detection.

This dataset contains the fine tuned models and the Colab scripts used for training and testing.

Notes

The various fine tuned models are located in the Models folder and the scripts used for training and testing are located in the Scripts folder. The Peekaboo data is available at https://doi.org/10.25958/85p1-4w32

This dataset is part of a larger collection

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