Instructions to use CyberDataLab/BigBird_Syscall_Malware with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CyberDataLab/BigBird_Syscall_Malware with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CyberDataLab/BigBird_Syscall_Malware")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CyberDataLab/BigBird_Syscall_Malware") model = AutoModelForSequenceClassification.from_pretrained("CyberDataLab/BigBird_Syscall_Malware", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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It has five labels: Normal and four types of malware: Bashlite, TheTick, Bdvl, RansomwarePoC
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Dataset: https://ieee-dataport.org/documents/malwspecsys-dataset-containing-syscalls-iot-spectrum-sensor-affected-heterogeneous-malware
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It has five labels: Normal and four types of malware: Bashlite, TheTick, Bdvl, RansomwarePoC
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Dataset: https://ieee-dataport.org/documents/malwspecsys-dataset-containing-syscalls-iot-spectrum-sensor-affected-heterogeneous-malware
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Paper: https://arxiv.org/abs/2405.09318
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Published at IEEE MILCOM 2024
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